A wearable system for the affective monitoring of car racing drivers during simulated conditions
► Real time, wearable system for remote monitoring of car racing drivers’ emotional state. ► Identified emotional classes: high stress, low stress, dysphoria and euphoria. ► Useful tool for car racing teams, enabling the correlation between the driver’s emotional state with specific adjustments in t...
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| Published in | Transportation research. Part C, Emerging technologies Vol. 19; no. 3; pp. 541 - 551 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier India Pvt Ltd
01.06.2011
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0968-090X 1879-2359 |
| DOI | 10.1016/j.trc.2010.09.004 |
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| Abstract | ► Real time, wearable system for remote monitoring of car racing drivers’ emotional state. ► Identified emotional classes: high stress, low stress, dysphoria and euphoria. ► Useful tool for car racing teams, enabling the correlation between the driver’s emotional state with specific adjustments in the car’s performance.
A real time, wearable system for remote monitoring of car racing drivers’ emotional state is presented. The so-called AUBADE system (standing for AUgmentation system for roBust emotionAl understanding) consists of a wearable device and a centralized unit. The wearable device is responsible to acquire selected biosignals, pre-process them and wirelesses transmit them from the subject-site to the centralized system. The centralized system, which is the main part of the system and carries most of the processing, has a twofold purpose: on the one hand it performs evaluation of the subject’s emotional state and on the other hand it projects a generic 3D face model whereat the facial expression of the subject can be viewed. A two stage classification scheme is used. First a decision tree is implemented in order to classify the subject’s emotional state as high stress, low stress and valence. Then a Tree Augmented Naïve Bayesian classifier (TAN) is used to classify valence as euphoria and dysphoria. The centralized system has been validated using a dataset obtained from ten subjects in simulated racing conditions. The emotional classes identified are high stress, low stress, dysphoria and euphoria. The overall classification rate achieved using tenfold cross-validation is high. AUBADE constitutes the first system which has the feasibility of remote and real time affective assessment in car racing, providing a useful addition to the existing telemetry systems used in the domain. |
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| AbstractList | A real time, wearable system for remote monitoring of car racing drivers' emotional state is presented. The so-called AUBADE system (standing for AUgmentation system for roBust emotionAl understanding) consists of a wearable device and a centralized unit. The wearable device is responsible to acquire selected biosignals, pre-process them and wirelesses transmit them from the subject-site to the centralized system. The centralized system, which is the main part of the system and carries most of the processing, has a twofold purpose: on the one hand it performs evaluation of the subject's emotional state and on the other hand it projects a generic 3D face model whereat the facial expression of the subject can be viewed. A two stage classification scheme is used. First a decision tree is implemented in order to classify the subject's emotional state as high stress, low stress and valence. Then a Tree Augmented Naive Bayesian classifier (TAN) is used to classify valence as euphoria and dysphoria. The centralized system has been validated using a dataset obtained from ten subjects in simulated racing conditions. The emotional classes identified are high stress, low stress, dysphoria and euphoria. The overall classification rate achieved using tenfold cross-validation is high. AUBADE constitutes the first system which has the feasibility of remote and real time affective assessment in car racing, providing a useful addition to the existing telemetry systems used in the domain. ► Real time, wearable system for remote monitoring of car racing drivers’ emotional state. ► Identified emotional classes: high stress, low stress, dysphoria and euphoria. ► Useful tool for car racing teams, enabling the correlation between the driver’s emotional state with specific adjustments in the car’s performance. A real time, wearable system for remote monitoring of car racing drivers’ emotional state is presented. The so-called AUBADE system (standing for AUgmentation system for roBust emotionAl understanding) consists of a wearable device and a centralized unit. The wearable device is responsible to acquire selected biosignals, pre-process them and wirelesses transmit them from the subject-site to the centralized system. The centralized system, which is the main part of the system and carries most of the processing, has a twofold purpose: on the one hand it performs evaluation of the subject’s emotional state and on the other hand it projects a generic 3D face model whereat the facial expression of the subject can be viewed. A two stage classification scheme is used. First a decision tree is implemented in order to classify the subject’s emotional state as high stress, low stress and valence. Then a Tree Augmented Naïve Bayesian classifier (TAN) is used to classify valence as euphoria and dysphoria. The centralized system has been validated using a dataset obtained from ten subjects in simulated racing conditions. The emotional classes identified are high stress, low stress, dysphoria and euphoria. The overall classification rate achieved using tenfold cross-validation is high. AUBADE constitutes the first system which has the feasibility of remote and real time affective assessment in car racing, providing a useful addition to the existing telemetry systems used in the domain. |
| Author | Rigas, G. Fotiadis, D.I. Goletsis, Y. Katsis, C.D. |
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| Keywords | Car driver affective monitoring Biosignal processing Emotion recognition Tree Augmented Bayesian classifier Wearable devices C4.5 Experimental device Emotion emotionality Management Result Vehicle driver Road race System description Classification Signal processing Road traffic Monitoring Recognition |
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| SubjectTerms | Applied sciences Biosignal processing C4.5 Car driver affective monitoring Emotion recognition Exact sciences and technology Ground, air and sea transportation, marine construction Road transportation and traffic Tree Augmented Bayesian classifier Wearable devices |
| Title | A wearable system for the affective monitoring of car racing drivers during simulated conditions |
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