SmartCar: Detecting Driver Stress
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
CHI '04 Extended Abstracts on Human Factors in Computing Systems
A computational model for the automatic recognition of affect in speech
A computational model for the automatic recognition of affect in speech
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Thank you, I did not see that: in-car speech based information systems for older adults
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Improving automotive safety by pairing driver emotion and car voice emotion
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Automatic recognition of affective cues in the speech of car drivers to allow appropriate responses
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
Neural Networks - 2005 Special issue: IJCNN 2005
A new approach of a context-adaptive search agent for automotive environments
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Neural Computation
User Modeling and User-Adapted Interaction
On the Necessity and Feasibility of Detecting a Driver's Emotional State While Driving
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
In-Vehicle Corpus and Signal Processing for Driver Behavior
In-Vehicle Corpus and Signal Processing for Driver Behavior
Image and Vision Computing
Workshop: eye gaze in intelligent human machine interaction
Proceedings of the 15th international conference on Intelligent user interfaces
Performance analysis of acoustic emotion recognition for in-car conversational interfaces
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Emotion recognition using physiological and speech signal in short-term observation
PIT'06 Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies
Audio-Visual Affect Recognition
IEEE Transactions on Multimedia
Active affective State detection and user assistance with dynamic bayesian networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Improving human-machine interaction: a non invasive approach to detect emotions in car drivers
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Predicting information technology usage in the car: towards a car technology acceptance model
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
The voice user help, a smart vehicle assistant for the elderly
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Image and Vision Computing
Experiential perspectives on road congestions
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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Besides reduction of energy consumption, which implies alternate actuation and light construction, the main research domain in automobile development in the near future is dominated by driver assistance and natural driver-car communication. The ability of a car to understand natural speech and provide a human-like driver assistance system can be expected to be a factor decisive for market success on par with automatic driving systems. Emotional factors and affective states are thereby crucial for enhanced safety and comfort. This paper gives an extensive literature overview on work related to influence of emotions on driving safety and comfort, automatic recognition, control of emotions, and improvement of in-car interfaces by affect sensitive technology. Various use-case scenarios are outlined as possible applications for emotion-oriented technology in the vehicle. The possible acceptance of such future technology by drivers is assessed in a Wizard-Of-Oz user study, and feasibility of automatically recognising various driver states is demonstrated by an example system for monitoring driver attentiveness. Thereby an accuracy of 91.3% is reported for classifying in real-time whether the driver is attentive or distracted.