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1.1Concept and objectives

Explain the concept of your project. What are the main ideas that led you to propose this work?

Describe in detail the S&T objectives. Show how they relate to the topics addressed by the call, which you should explicitly identify. The objectives should be those achievable within the project, not through subsequent development. They should be stated in a measurable and verifiable form, including through the milestones that will be indicated under section 1.3 below.

Introduction

From EU statistics is known that at least 50% of accidents on EU roads is caused by human factor failures. These human caused losses had represented in 2008 about 100 billion Euros and more than 20000 killed people. Unfortunately, these figures increase from year to year.

They are caused by two factors mainly:

Till now almost permanently acting increase of the road transport intensity (though some expectations were made last time that road transport intensity will decrease because the world financial crisis, this appears to be true), faults of the drivers interactions with vehicle and their incorrect reaction on the situation on road.

The proposed project is focused on the second mentioned factor, which acts in all kinds of road traffic and concerns the drivers of all kinds of vehicles.

There are various approaches how to diminish the negative influences of this factor.

However, the analyses made in last few years say that significant decrease of these tremendous losses can be reached by development of more efficient methods of driver training for to be resistive against decreases of their attention, to attention splitting caused by influence of environmental factors and also to tendencies to non-tolerant and aggressive behaviour or stress influences when driving. The positive effect of such advanced training holds a considerably long time (several months and more).

The wider scale application of such methods, especially on professional cargo truck drivers, drivers of long distance busses and drivers of dangerous goods transporting vehicles can bring besides the significant decrease of road accidents, saving human lives and money, also the not neglect-able decrease of fuel consumption, air pollution and time saving (estimated to 10% and more).

These methods are dominantly based on bio-feedback approach, oriented on the use of advanced analysis of electroencephalographic EEG signals and of other selected brain activity indicators.

The bio-feedback based methods are non-invasive in principle and in contrary to almost all on drugs consumption based approaches to attention enhancement (amphetamines etc.) do not include the danger of narcolepsy.

The bio-feedback methods of advanced training is not restricted in age and sex, however in respective testing of developed advanced approaches the modelling of the real composition of driver population will be respected.

1.1.1 Goal

The goal of this proposal is to develop and test novel advanced methods for training the of road vehicle drivers allowing to reach their improved resistance to attention decreases and failures (namely attention splitting and/or switching to aggressive style of driving) in interaction with vehicle.

1.1.2 Technical and scientific challenges

The human - machine interaction (HMI) is known for many years as most important, but very un-reliable and un-safety factor in all the activities in contemporary transportation, especially those, realized on roads.

Human subjects made a lot of faults, react late, made wrong or incorrect decisions, forgot.

In general, there are the following three main kinds of reasons for such human subject failures when driving vehicle:

  1. The natural subsequent decreases of attention, to which each human subject in course of any his/her activity is exposed,
  2. 2.The humoral negative influences on particular subject caused by abnormal high presence of alcohol and/or other drugs in particular subject body,
  3. 3.The sudden changes of respective subject behaviour from tolerant to aggressive character.

As far as is known, the reason a) has to be considered as main cause of accident in about 50% of cases, while the two other share the rest approximately halve to halve.

Besides these well known sources of human subject failures the attention has to be given also to

splitting of driver attention from observing the fundamental stimuli (concerning the situation on road) to marginal stimuli(including various in car cockpit installed assistance systems and nomadic devices), invading the driver attention,

influence of environmental factors, like the level and kind of illumination, temperature and humidity, atmospheric pressure etc.

psychical and general humoral conditions in which the driver starts driving and to their eventual changes appearing in the course of his/her driving activity.

There is very problematic to fight with all these types of problems of driver - car interaction reliability at once.

Nevertheless, the advanced driver training for higher resistance to attention decreases and attention splitting have to be considered as key tool for it.

This is the reason, why the project Attractions is focused before all at the minimizing of the negative effects of natural decreases of attention, to which each driver, providing his/her driving activity for longer interval of time has to face.

1.2Progress beyond the state-of-the-art

Describe the state-of-the-art in the area !! concerned, and the advance that the proposed project would bring about. If applicable, refer to the results of any patent search you might have carried out.

The project Attractions is oriented dominantly to development of methods and necessary tools (both HW and SW) for training the drivers to be significantly more resistive to decreases of their attention in the course of longer driving and to dangerous splitting of attention from the situation on road caused due the influences of on driver impacting disturbing marginal stimuli. Current projects are focussed on the development of technical tools based on sensor input to analyse the behaviour of car drivers and on the development of biofeedback measured by EMG and ECG devices. The innovative aspect of the cuurent project is the use of EEG devices and the combination with EMG and ECG devices. The attention level of cardrivers will be measured by bran activity.

These methods are based on deeper understanding of driver brain activities in course of his/her driving the vehicle, namely on advanced analysis of appropriate combination of driver EEG, EMG, ECG, near-infrared transparency signals and other suitable indicators (skin impedance, breath temperature, face grimaces etc). They will use the bio-feedback oriented stimulation of increasing the driver resistance to human driving failures, namely to attention decreases and splitting due both the environmental and in-vehicle disturbing influences. As main tool for such advanced driver training the compact driving simulators equipped by adaptive 2- and 3D scenarios will serve. As training reward and punishment the use of adaptive modifications of simulator scenarios are expected.

Because the applicability of bio-feedback based methods of training concerns in general only a part of driver population (estimated now at about 60%), the group of professional drivers (truck, busses, special vehicles, drivers of dangerous cargo) will stay in the focus of interest in this project.

The efficiency of methods and tools, developed in the proposed project will be tested on reasonable large sample of such professional drivers, on which also the time duration of respective driver advanced state and possibility of repeated retraining will be verified. This will be done by double-blind testing before and after the training of satisfactory large volunteer cohort.

Finally, the methodology for wider application of such advanced driver training will be proposed with respect to national and regional specifics existing in on project participating European countries.

Project expected deliverables consist in:

  • Methods for driver training for higher resistance to attention decreasing
  • Methods for driver training for higher resistance to attention splitting
  • Special simulator scenarios in virtual reality for bio-feedback training of driver higher resistance to attention decreases and splitting
  • Compact publication (book) on bio-feedback application to driver training

1.2.1 Natural mechanisms of attention decreases

As is well known, the level of human subject attention can be expressed by various indicators. As most suitable for practical application we recommend restrict on following three:

  • the reaction time RT, considered as time interval between appearing of some stimulus (usually of visual nature) and driver reaction,

the probability Pcorr of driver correct response on certain stimulus,

the size and shape of the actual driver visual field, measured usually by simplification on horizontal observation angle.

From these indicators the figure of merit of attention level LA can be expressed, e.g. as

LA = |RT-1, Pcorr, |. I don't understand this formula???

The value of LA is influenced by many factors, but in any case it changes with time. An example of such changes is shown in Fig. 1.

In the course of longer driving exposition, the attention level of each driver decreases, as is idealized shown in Fig.1. While the phase of full attention (yellow) and of relaxation (green) can be considered as acceptable with respect to driving safety, the other three (somnolence - blue, hypnagogium and micro-sleep - red to dark violet, awaking - light violet) have to be considered as dangerous. Of course, in some cases the sequence of phases can be shortened.

Naturally, there is a need to train the drivers so, that the appearances of these dangerous phases in his/her attention development come as delayed as possible.

1.2.2 Mechanisms of attention splitting

Besides the natural decreases the driver attention is influenced almost permanently by various stimuli, detouring its focusing from the situation on road in front of his/her vehicle to marginal events. Such stimuli spit the effective level of the actual disposal level of driver attention so that only the minor part, often too small for safe driving remains for safe driving. Though the length of influence of these marginal stimuli is usually not too long, even the short splitting of driver attention can be dangerous, especially in high speed and in dense traffic.

There are two main ways how to diminish this danger:

  • Limitation of the number, density and intensity of marginal stimuli influencing the driver,
  • Training the driver for higher resistance to marginal stimuli influence.
  • The second one stands in the focus of interest in this project, because the EEG and near infrared light brain transparency oriented biofeedback can be considered as good tool for the improving driver resistance to such marginal stimuli influences.

1.2.3 Principles of advanced training

One of the most prospective advanced methods of driver training to be more resistive to attention decreases is based on biofeedback (BF).

Biofeedback methodology itself is known for about 20 years as treatment technique in which human subjects are trained to improve their physiological functions by using some suitable significant signals from their own bodies. Usually the EEG signals are used for such purpose.

BF is till now used mainly for attention improvement of children and student, in some special applications also for pilots. Till now it was not used for vehicle drivers. (This not true, BF is used for many years for improving driving behaviour but using EEG is innovative).

Its application in this area opens an approach to reach significant gain in road accident decreasing.

For such purpose the BF based approach will be extended besides the EEG on using the wider combination of human brain and body activity characterizing signals, namely coming from skin, heart (ECG), muscles (EMG), brain (besides EEG also the transparency of neat-infrared light) etc.

The respective subjects are learned how to understand the information hidden in these signals and are forced (by suitable rewards and punishments) for modification of these signals by their will in the form, corresponding to vigilant stage and eventually also to tolerant behaviour.

The most common is the use of electroencephalographic signal for this purpose, but some novel results reached in investigations of near infrared analysis of human brain seem to open the hope that also in this base the efficient BF could be developed.

Some psycho-therapeutic experts use at present the BF methodology to decrease intra-psychic tense in anxious and depressive patients and epileptics or learn to relax students who suffered from attention deficit and hyperactivity disorders.

The main system for consciousness (thalamo-cortical reverberation circuit) generates whole brain electromagnetic oscillations permanently, during all the considered person life. These oscillations project as very complicated electric or magnetic field on surface of head, usually of frequencies 0,5-30 Hz and more. With respect to technical applicability, the electric component of this electromagnetic field is usually preferred.

From the EEG signals one chooses certain significant frequency band e.g. the so called SMR (Sensory Motor Rhythm = 13-18 Hz). The appearance of SMR episodes in particular trained person EEG signals is rewarded in appropriate manner (e.g. by success in simultaneously watched game or by another suitable form).

The respective person is so stimulated to repeat SMR still more often. Similar, the absence of SMR is punished. This brings into the trained person brain function the factor of electro-genesis and into his/her psyché the tendency which projects its own property, which is motor inhibition and attention increasing.

This is aim of therapeutically and/or learning oriented processes, in which people are trained to improve their physiological functions by using suitable (e.g. electrical - EEG) signals from their own bodies (one can use magnetic component of brain electromagnetic field too, but the necessary equipment is much heavy and expensive).

Neurologists use the EEG biofeedback to put down the epileptic attacks [29] or to help stroke patients regain movement in paralyzed muscles. Psycho-therapeutists and psychiatrists use it to decrease intra-psychical tense in anxious and depressive clients [22, 24], schizophrenic patients [13] and learn to relax boys who suffered from ADHD (attention deficit hyperactivity disorders) syndrome [17, 19, 23]. PET (positron emission tomography) shows metabolic reduction in some brain structures, e.g. superior prefrontal and premotoric areas, fMRI shows hypoactivity in gyrus occipitotemporalis and in both amygdalae, see Fig.2.

Fig. 2: Longitudinal section of the brain. AA - area adolfactoria or septal nuclei, rhythmic generator for hippocampus (HI). AM -amygdala, part of limbic system. HI and AM are structures where are very often localized epileptic foci (EF). ARAS - ascendent reticular activation system, centrum for vigilance maintenance. BO - bulbus olfactorius, odours perception. CO - neocortex, 95% of all cortex, logical, rational, kognitive, speech centra etc. GC - gyrus cinguli, attention and perception of pain. HI - hippocampus, old cortex, emotional and memory functions. HT - hypothalamus, the highest neurovegetative centrum. HY - hypophysis, gland with the highest neurohumoral endokrinne functions. LBF - lobulus parietalis, part of neocortex for touch, pain and attention. LC - locus caeruleus, nucleus for paradoxical sleep regulation. MES.- mesencephalon, midbrain, superior part of brain- stem. NR - nucleus ruber, motor centrum. M.oblong. - medulla oblongata, inferior part of brain stem. NRA - nuclei raphe, centra for synchronnous sleep regulation. PF - prefrontal cortex, rational function, operating memory, attention, psychic Ego. PM - premotorr cortex, area for movement preparation. Pons Varoli - middle part of brainstem.

The results suggest that EEG BF has the capacity to normalize the functioning of the brain structure (left superior parietal lobule), mainly of right anterior part of gyrus cinguli, the key neural substrate of selective attention.

There is therefore recommendable to use the EEG BF technique for increasing attention and for improving the resistance to attention decreases and for elimination of somnolence stages of drivers, pilots etc..

Anatomical and functional substrate of consciousness is thalamo-cortical reverberation circuit which permanently products electromagnetic waves during the day and night in frequency between 1 - 30 Hz. Every narrow band from this whole spectrum has its own property. SMR activity (13 -18 Hz) accompanying the motor inhibition and better attention is used as training for calming and quietness.

SMR, like another EEG activities comes at the beginning of observation quite randomly. But if every SMR episode is rewarded in appropriate way, the trained person brain becomes to be positively stimulated.

These situations represent for trained person a pleasure. Thanks to such motivation the previous situations are implemented in thalamo-cortical circuits and in memory. This mechanism activity is than repeated many time. SMR time index increases and SMR activity is transformed into electro-genesis and later on into psychic tendency to keep it for longer time. The aim of BF is reached. Therefore anxiety, hyperactivity, epileptic attacks decreases and resistance to attention decreases rises. This probably can concern also the changes of driver behaviour.

Measurements show that most effective for tasks coupled with EEG attentiveness is stimulation in area around electrode C3 (in the system 10/20), while subject's effort is to maximize SMR and suppress variance and aggression (theta and beta activity respectively). The therapeutic tools allow setting up different biases for SMR activation, which gives the possibility of progressive training. Next two graphs show analysis of the SMR, beta and beta2 activity of one subject in the beginning and by the end of the short (10 rounds) biofeedback training. It is possible to see that SMR activity is higher (testify for higher concentration abilities) meanwhile beta activity is relatively lower after training .

1.3S/T methodology and associated work plan

A detailed work plan should be presented, broken down into work package(WPs) which should follow the logical phases of the implementation of the project, and include consortium management and assessment of progress and results. (Please note that your overall approach to management will be described later, in section 2).

Please present your plans as follows:

  1. Describe the overall strategy of the work plan (Maximum length - one page)
  2. Show the timing of the different WPs and their components (Gantt chart or similar).
  3. Provide a detailed work description broken down into work packages.
  4. Work package list (please use table 1.3a).

Deliverables list (please use table 1.3b).

List of milestones (please use table 1.3c)

Description of each work package (please use table 1.3d)

Summary effort table (1.3e)

Provide a graphical presentation of the components showing their interdependencies (Pert diagram or similar)

Describe any significant risks, and associated contingency plans

Note: The number of work packages used must be appropriate to the complexity of the work and the overall value of the proposed project.The planning should be sufficiently detailed to justify the proposed effort and allow progress monitoring by the Commission.

This project is focussed on the realisation of the following goals:

  • The creation of a set of tested methods for advanced training of drivers for higher resistance to attention decreases, attention splitting and to sudden conversions from tolerant to aggressive behaviour. This will be realised by the use of existing tools and technologies from the car simulators, PTW simulators, virtual reality scenarios and bio-feedback methodology..
  • The verification and testing of the wide scale applicability of developed methods respecting some specifics of age, sex, skill and locality of drivers.
  • Test experiments. In the course of the project the virtual environment and learning methodology and material will be tested.

1.3.1 Software design methodology

As was mentioned above a lot of considerably new software has to be developed in the course of this project solution. At the start of the project the requirements on it have to be formulated. This software tools will be oriented into following main areas:

  1. Software modules for special virtual scenarios
  2. Software modules for car-simulator and PTW-simulator control and providing of measurements
  3. Software modules for bio-feedback training
  4. Software modules for training efficiency and enhanced driver attention duration.

Because this software toolsmodules will be developed by various participants of the project, they will have to fulfil all new software modules need to require the compatibility requirements.

To develop the such ssoftware modules an incremental and iterative approach will be used (: a sequence of successive prototypes of increasing complexity and maturity) will be used. This approach allows the availability of preliminary software modules in early stages of the project and the necessary feedback to refine requirements and designs. After that, the evaluation of these modules with respect to their applicability will be provided. Finally the .integration of the respective well tested and in operation verified software modules will be made.

1.3.2 Project Methodology

The project is composed of a number of steps. These steps will be translated in work packages (WP). Because of the relations between the successive WPs, they will be executed both in a sequential and in parallel way. In the following description the main successive steps will be mentioned before all. The steps solved in parallel are mentioned secondly.

Step 1

The main goal of the project is to design and develop a tool for improving the resistance of road vehicle drivers to failures of attention and of their behaviour character.

For that: a) the improved knowledge of attention decreases and attention splitting mechanisms is necessary. For this, the interest will be focused in the WP 1. Because of the very high individuality of human subjects, considerably high number of tested persons (probands) has to be investigated (at least 24 probands for each experiment, by respecting the division of each such proband cohort with respect to age and sex).

In parallel various approaches to training of drivers to improved resistance to attention failures will be tested with special regard to those, based on bio-feedback methodology.

Step 2

The actual state of driver attention level driver can be estimated and measured by the use of various attention indicators differing in their suitability for advanced driver training, the speed and specificity of particular indicator will be taken into account as two dominant criteria. Because at present no universal indicator is known, the interest will be given to selection of their proper combination. A special interest will be given to indicators based on brain signal analysis, which are probably the most specific and fastest. However their practical applicability is limited because of the necessity to install some special sensors on driver head. Therefore in parallel the interest will be given also to those indicators which are easier for practical use (based on analysis of face grimaces and eye movements and on various signals of driver body). Because of their lower specificity and speed, they have however to be calibrated by the indicators based on brain signals.

Step 3

When a suitable set of driver attention and behaviour indicators is found, the methodology of its use for bio-feedback training of driver to improved resistance to attention and behaviour faults will be developed. The respective software will be installed at disposable driving simulators and the efficiency of respective training methods will be tested.

Step 4

The best methodologies will be specified and the respective software tolls will be integrated. In parallel the wide size applicability of such training methodology will be investigated, with special regard to enhanced driver stage durability and to his/her retraining possibility. The eventual negative effect of such advanced training of drivers will be taken under investigation.

Step 5

The analysis of expectable economic effect of wide size application of such advanced training of special driver categories will be provided. The eventual social aspect for society health will be also taken into account.

Second Life is already hosted by the Linden Company. Nevertheless the pros and cons of such hosting still need to be investigated before adopting a final virtual environment.

The posed objectives will be achieved following these steps and completing the activities, described in the proposed work packages 1 - 6. The work package 7 will be oriented to project management. The work-plan is given in Table 1, which exhibits the systemized work packages, the expected outputs, which activities will lead to these outcomes, duration of these activities (start and end), which partners will be involved and how many man-months are needed.

Work package list

Work package
No

Work package title

Type of activity

Lead
partic
no.

Lead partic. short name

Person-months

Start
month

End
month6

WP1

Investigation of driver attention decrease mechanisms and of the advanced methods for driver training

RTD

1

CTU FTS / LCPC

60

1

12

WP2

Analysis and recommendation of suitable indicators for driver brain actual stage representation with special regard to possibility of use for bio-feedback based training

RTD

2

TRL

45

6

18

WP3

Development of methodology for bio-feedback based training of professional drivers by the use of the set of indicators specified in WP 2 Development of special simulator scenarios for combined positive and negative driver stimulation of drivers for improved resistance to attention failures

RTD

3

TUD

55

16

30

WP4

Development of special simulator scenarios for combined positive and negative driver stimulation of drivers for improved resistance to attention failures

RTD

1

CTU FTS

38

18

34

WP5

Testing the efficiency, durability, and re-trainability of such bio-feedback training on statistically significant sample of driver population. Analysis of eventual negative effects.

R TD

5

LCPC / CHU Bdx

38

18

30

WP6

Estimation of economic and ecologic effect of such advanced driver training application.

RTD

5

D

45

25

35

WP7

Management

RTD

1

IDS

11

1

36

TOTAL

294

List of Deliverables

Del. no.

Deliverable name

WP no.

Nature

Dissemi-nation
level

Delivery date

(proj.

month)

1.1.

Report on literature survey containing a list with a state of the art and a comparison of driver education methods

WP1

R

CO

5

2.1.

Report on the study on the attention indicators.

WP2

R

CO

16

2.2.

Evaluation reports of suitable attention indicators and their recommended set

WP2

R

CO

18

3.1.

Evaluation report on bio-feedback driver training to increased resistance to attention decreases

WP3

R

CO

28

4.1.

Package of simulator scenarios

WP4

R

RE

30

5.1.

Evaluation report on bio-feedback methods applicability

WP5

R

CO

30

6.1.

Report on the bio-feedback methods efficiency and gained driver improvement duration.

WP6

R

CO

35

7.1.

Partner agreements between coordinator and each partner.

WP7

O

CO

1

7.2.

The rules for maintaining the partnership established.

WP7

O

CO

2

7.3

Detailed progress reports (Report on the organized conferences and participation in scientific conferences, a list of presented papers and publications)

WP7

R

RE

Milestones

Milestones are control points where decisions are needed with regard to the next stage of the project. For example, a milestone may occur when a major result has been achieved, if its successful attainment is a required for the next phase of work. Another example would be a point when the consortium must decide which of several technologies to adopt for further development.

Milestone number

Milestone name

Work package(s) involved

Expected date

Means of verification

1

Recommended set of attention indicators

WP2

Month 12

Attention indicators methods and software package.

2

Software package of simulator scenarios

WP4

Month 33

Remotely accessible with client software

3

Recommended methods of bio-feedback based driver training for improved resistance to attention decrease and splitting

WP3

Month 30

Remotely accessible with project partners and clients

4

Bio-feedback training effect durability testing complete

WP5

Month 30

Report and recommendation

5

Bio-feedback re-trainability testing complete

WP5

Month 30

Report and recommendation

Work package description

Work package number

WP1

Start date or starting event:

M1

Work package title

Investigation of driver attention decrease mechanisms and of the advanced methods for driver training

Activity type

RTD

Participant number

1

2

3

4

5

6

7

Participant short name

CTU

TRL

TUD

TU

D

LCPCINRETS

CHU Bdx

Person-months per participant

25

15

10

5

5

5

15

70

Objectives

Formulate the requirements on driver attention level in the course of his/her driving activity.

Description of work (possibly broken down into tasks) and role of partners

Task 1.1. Identify requirements for the level of attention of road vehicle driver in the course of his/her driving activity in different driving conditions and for different kinds of vehicles.

Identify the environmental influence and influence of on-board assistance systems.

This task will be performed by partners P1, P2, P3, P4, P5, P6, P7.

Task 1.2. Study of attention decreases mechanisms, with special regard both to natural decreases caused by driver fatigue and to attention splitting caused by marginal stimuli.

This task will be performed by partners P1, P2, P3, P7.

Task 1.3. Selection of the most suitable method for driver education and training.

This task will be performed by partners P1, P2 P3, P5, P6, P7.

Deliverables (brief description) and month of delivery

1.1. Report on literature survey containing a list with a state of the art and a comparison of driver education methods (M5)

Work package number

WP2

Start date or starting event:

M6

Work package title

Analysis and recommendation of suitable indicators for driver brain actual stage representation with special regard to possibility of use for bio-feedback based training

Activity type

RTD

Participant number

1

2

3

4

5

7

Participant short name

CTU

TRL

TUD

TU

D

INRETSCHU Bdx

Person-months per participant

10

15

10

5

5

10

55

Objectives

Analysis and recommendation of suitable set of driver actual attention level indicators

Description of work (possibly broken down into tasks) and role of partners

Task 2.1. Analysis of the specificity and speed of attention indicators oriented to driver brain activity, with special regard to EEG signals, EMG signals and brain transparency in near-infrared region.

This task will be performed by partners P1, P2, P3, P7.

Task 2.2. Analysis of specificity and speed of attention indicators oriented to eye-movements and face grimaces.

This task will be performed by partners P1, P2, P3, P5, P7.

Task 2.3. Analysis of specificity and speed of attention indicators oriented to humoral signals of human body (namely temperature of skin, temperature of breath, ECG signals).

This task will be performed by partners P1, P2 P3, P4, P5, P7.

Task 2.4 Recommendation of the set of indicators suitable for bio-feedback oriented methods of driver training for enhanced resistance to attention decreases and splitting.

This task will be performed by partners P1, P2 P3, P4, P5.

Deliverables (brief description) and month of delivery

2.1 Report on the study on the attention indicators. (M16)

2.2 Evaluation reports of suitable attention indicators and their recommended set. (M18)

Work package number

WP3

Start date or starting event:

M16

Work package title

Activity type

Participant number

Participant short name

Person-months per participant

Objectives

Evaluation report on bio-feedback driver training to increased resistance to attention decreases.

Description of work (possibly broken down into tasks) and role of partners

Task 3.1 Evaluation of bio-feedback driver training methods oriented to increasing of driver resistance to attention decreases and attention splitting

This task will be performed by partners P1, P2, P3, P4, P5. P6, P7.

Deliverables (brief description) and month of delivery

3.1 Evaluation report on bio-feedback driver training to increased resistance to attention decreases (M28)

Work package number

WP4

Start date or starting event:

M18

Work package title

Development of methodology for bio-feedback based training of professional drivers by the use of indicators specified in WP2

Activity type

RTD

Participant number

1

2

3

4

5

6

7

Participant short name

CTU

TRL

TUD

TU

D

INRETS

CHU Bdx

Person-months per participant

15

8

8

5

5

15

5

61

Objectives

Software package of simulator scenarios.

Description of work (possibly broken down into tasks) and role of partners

Task 4.1 Specific simulator scenarios in 2D and 3D allowing punishment and rewarding for improved resistance to attention decreases

This task will be performed by partners P1, P2, P3, P5, P6, P7

Task 4.2 Specific simulator scenarios for improved resistance to attention splitting

This task will be performed by partners P1, P2, P3, P5, P6, P7

Task.4.3 Specific simulator scenarios for deleting the tendency to aggressive behaviour methods oriented to increasing of driver resistance to attention decreases and attention splitting

This task will be performed by partners P1, P2, P3, P4, P5, P6, P7

Task.4.4 Simulator experiments compatibility - Definition of common measurement protocol, development of common scenario definition for simulator experiments, validation on all simulators used within the project

This task will be performed by partners P1, P6, P7

Deliverables (brief description) and month of delivery

4.1 Software package of simulator scenarios (M30)

Work package number

WP5

Start date or starting event:

Work package title

Testing of the efficiency, durability and re-trainability of bio-feedback training on statistically significant sample of driver population. Analysis of eventual negative effects.

Activity type

RTD

Participant number

1

2

3

4

5

6

7

Participant short name

CTU

TRL

TUD

TU

D

INRETSLCPC

CHU Bdx

Person-months per participant

10

10

5

5

15

5

10 60

Objectives

Analysis of bio-feedback driver training methods applicability.

Description of work (possibly broken down into tasks) and role of partners

Task 5.1 Analysis of training applicability with special regard on wide scale use and gain effect durability

This task will be performed by partners P1, P2, P3, P5, P6, P7

Task 5.2 Analysis of the probability of successful application in wide scale applications

This task will be performed by partners P1, P2, P3, P5, P6, P7

Task 5.3 Analysis of eventual negative effects of developed methods

This task will be performed by partners P1, P2, P4, P5, P6, P7

Deliverables (brief description) and month of delivery

5.1 Evaluation report on bio-feedback methods applicability (M30)

Work package number

WP6

Start date or starting event:

M25

Work package title

Estimation of economic and ecologic effect of such advanced driver training application

Activity type

RTD

Participant number

1

2

3

4

5

6

7

Participant short name

CTU

TRL

TUD

TU

D

INRETSLCPC

CHU Bdx

Person-months per participant

10

10

5

5

15

10

5

60

Objectives

Analysis of the bio-feedback methods efficiency and duration of driver resistance to attention decreases and splitting improvement.

Description of work (possibly broken down into tasks) and role of partners

Task 6.1. Analysis of the economic and ecologic gain of wide-scale application of developed methods

This task will be performed by partners P1, P2, P3, P4, P5, P6, P7

6.2. Analysis of conditions and requirements for wide-scale application of developed methods

This task will be performed by partners P1, P2, P3, P5, P7

Deliverables (brief description) and month of delivery

6.1 Report on the bio-feedback methods efficiency and gained driver improvement duration. (M35)

Work package number

WP7

Start date or starting event:

M1

Work package title

Management

Activity type

MGT

Participant number

1

2

3

4

5

6

7

Participant short name

CTU

TRL

TUD

TU

D

INRETS

CHU Bdx

Person-months per participant

5

2

2

1

1

1

1

13

Objectives

Tocreate an efficient management structure, applying the most modern information and communication technologies.

Description of work (possibly broken down into tasks) and role of partners

Task 7.1. The rules of reference for maintaining the partnership established.

This task will be performed by partners P1, P2, P3, P4, P5, P6, P7

Task 7.2. The infrastructure of the project established and developed

This task will be performed by partners P1, P2, P3, P4, P5, P6, P7

7.3. The evaluation procedures and performance indicators developed.

This task will be performed by partners P1

7.4. Work meetings organized.

This task will be performed by partners P1

7.5. Project coordinated. Report elaborated

This task will be performed by partners P1

Deliverables (brief description) and month of delivery

Summary of effort

A summary of the effort is useful for the evaluators. Please indicate in the table number of person months over the whole duration of the planned work, for each work package by each participant. Identify the work-package leader for each WP by showing the relevant person-month figure in bold.

Partic. no.

Partic. short name

WP1

WP2

WP3

WP4

WP5

WP6

WP7

Total person months

1

CTU

30

10

15

15

10

10

5

95

2

TRL

15

15

10

8

10

10

2

70

3

TUD

10

10

15

8

5

5

2

55

4

TU

5

5

5

5

3

5

1

29

5

D

5

5

10

5

15

15

1

56

6

LCPCINRETS

5

0

5

15

5

10

1

41

7

CHU Bdx

15

10

15

5

10

5

1

61

Total

65

45

55

41

43

45

11

304

Section 2.Implementation

(Maximum length for Section 2.1 - five pages)

2.1Management structure and procedures

Describe the organisational structure and decision-making mechanisms of the project. Show how they are matched to the complexity and scale of the project.

2.2 Individual participants

(Maximum length for Section 2.2: one page per participant. However, where two or more departments within an organisation have quite distinct roles within the proposal, one page per department is acceptable.

The maximum length applying to a legal entity composed of several members, each of which is a separate legal entity (for example an EEIG), is one page per member, provided that the members have quite distinct roles within the proposal.)

For each participant in the proposed project, provide a brief description of the legal entity, the main tasks they have been attributed, and the previous experience relevant to those tasks. Provide also a short profile of the individuals who will be undertaking the work.

2.3Consortium as a whole

(No maximum length for Section 2.3 - depends on the size and complexity of the consortium)

Describe how the participants collectively constitute a consortium capable of achieving the project objectives, and how they are suited and are committed to the tasks assigned to them. Show the complementarity between participants. Explain how the composition of the consortium is well-balanced in relation to the objectives of the project.

If appropriate describe the industrial/commercial involvement to ensure exploitation of the results.

i) Sub-contracting:

If any part of the work is to be sub-contracted by the participant responsible for it, describe the work involved and explain why a sub-contract approach has been chosen for it.

ii) Other countries:

If a one or more of the participants requesting EU funding is based outside of the EU Member states, Associated countries and the list of International Cooperation Partner Countries, explain in terms of the project's objectives why such funding would be essential.

2.4Resources to be committed

(Maximum length for Section 2.4 - two pages)

Describe how the totality of the necessary resources will be mobilised, including any resources that will complement the EC contribution. Show how the resources will be integrated in a coherent way, and show how the overall financial plan for the project is adequate.

In addition to the costs indicated on form A3 of the proposal, and the effort shown in section 1.3 above, please identify any other major costs (e.g. equipment). Ensure that the figures stated in Part B are consistent with these.

Section 3.Impact

(Maximum length for the whole of Section 3 - ten pages)

3.1Expected impacts listed in the work programme

Describe how your project will contribute towards the expected impacts listed in the work programme in relation to the topic or topics in question. Mention the steps that will be needed to bring about these impacts. Explain why this contribution requires a European (rather than a national or local) approach. Indicate how account is taken of other national or international research activities. Mention any assumptions and external factors that may determine whether the impacts will be achieved.

3.2Dissemination and/or exploitation of project results, and management of intellectual property

Describe the measures you propose for the dissemination and/or exploitation of project results, and how these will increase the impact of the project. In designing these measures, you should take into account a variety of communication means and target groups as appropriate (e.g. policy-makers, interest groups, media and the public at large).

Describe also your plans for the management of knowledge (intellectual property) acquired in the course of the project.

Section 4.Ethical Issues

(No maximum length for Section 4 - depends on the number and complexity of the ethical issues involved)

Describe any ethical issues that may arise in their proposal. In particular, you should explain the benefit and burden of their experiments and the effects it may have on the research subject. The following special issues should be taken into account:

Informed consent: When describing issues relating to informed consent, it will be necessary to illustrate an appropriate level of ethical sensitivity, and consider issues of insurance, incidental findings and the consequences of leaving the study.

Data protection issues: Avoid the unnecessary collection and use of personal data. Identify the source of the data, describing whether it is collected as part of the research or is previously collected data being used. Consider issues of informed consent for any data being used. Describe how personal identify of the data is protected.

Use of animals: Where animals are used in research the application of the 3Rs (Replace, Reduce, Refine) must be convincingly addressed. Numbers of animals should be specified. State what happens to the animals after the research experiments.

Human embryonic stem cells: Research proposals that will involve human embryonic stem cells (hESC) will have to address all the following specific points:

the necessity to use hESC in order to achieve the scientific objectives set forth in the proposal.

whether the applicants have taken into account the legislation, regulations, ethical rules and/or codes of conduct in place in the country(ies) where the research using hESC is to take place, including the procedures for obtaining informed consent;

the source of the hESC

the measures taken to protect personal data, including genetic data, and privacy;

the nature of financial inducements, if any.

Identify the countries where research will be undertaken and which ethical committees and regulatory organisations will need to be approached during the life of the project.

Include the Ethical issues table below. If you indicate YES to any issue, please identify the pages in the proposal where this ethical issue is described. If you are sure that none of the issues apply to your proposal, simply tick the YES box in the last row.

Notes:

  1. For further information on ethical issues relevant to ICT, see annex 5 of the Guide for applicants.
  2. Only in exceptional cases will additional information be sought for clarification, which means that any ethical review will be performed solely on the basis of the information available in your proposal.

ETHICAL ISSUES TABLE

YES

PAGE

Informed Consent

Does the proposal involve children?

Does the proposal involve patients or persons not able to give consent?

Does the proposal involve adult healthy volunteers?

Does the proposal involve Human Genetic Material?

Does the proposal involve Human biological samples?

Does the proposal involve Human data collection?

Research on Human embryo/foetus

Does the proposal involve Human Embryos?

Does the proposal involve Human Foetal Tissue / Cells?

Does the proposal involve Human Embryonic Stem Cells?

Privacy

Does the proposal involve processing of genetic information or personal data (eg. health, sexual lifestyle, ethnicity, political opinion, religious or philosophical conviction)

Does the proposal involve tracking the location or observation of people?

Research on Animals

Does the proposal involve research on animals?

Are those animals transgenic small laboratory animals?

Are those animals transgenic farm animals?

Are those animals cloned farm animals?

Are those animals non-human primates?

Research Involving Developing Countries

Use of local resources (genetic, animal, plant etc)

Impact on local community

Dual Use

Research having direct military application

Research having the potential for terrorist abuse

ICT Implants

Does the proposal involve clinical trials of ICT implants?

I CONFIRM THAT NONE OF THE ABOVE ISSUES APPLY TO MY PROPOSAL

A work package is a major sub-division of the proposed project with a verifiable end-point - normally a deliverable or a milestone in the overall project.

Workpackage number: WP 1 - WP n.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium

Number of the participant leading the work in this work package.

The total number of person-months allocated to each work package.

Measured in months from the project start date (month 1).

Deliverable numbers in order of delivery dates. Please use the numbering convention <WP number>.<number of deliverable within that WP>. For example, deliverable 4.2 would be the second deliverable from work package 4.

Please indicate the nature of the deliverable using one of the following codes:

R = Report, P = Prototype, D = Demonstrator, O = Other

Please indicate the dissemination level using one of the following codes:

PU = Public

PP = Restricted to other programme participants (including the Commission Services).

RE = Restricted to a group specified by the consortium (including the Commission Services).

CO = Confidential, only for members of the consortium (including the Commission Services).

Measured in months from the project start date (month 1).

Measured in months from the project start date (month 1).

Show how you will confirm that the milestone has been attained. Refer to indicators if appropriate. For example: a laboratory prototype completed and running flawlessly; software released and validated by a user group; field survey complete and data quality validated.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

Please indicate one activity per work package:

RTD = Research and technological development; DEM = Demonstration; MGT = Management of the consortium.

See CORDIS web-site, and annex 1 of the work programme.

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