SmartCar: Detecting Driver Stress
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Fully Automatic Upper Facial Action Recognition
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Agents that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
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
Investigating emotional interaction with a robotic dog
OZCHI '07 Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
Using Paralinguistic Cues in Speech to Recognise Emotions in Older Car Drivers
Affect and Emotion in Human-Computer Interaction
Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Automatic emotion recognition from speech a PhD research proposal
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Improving generalisation and robustness of acoustic affect recognition
Proceedings of the 14th ACM international conference on Multimodal interaction
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The automotive industry are integrating more technologies into the standard new car kit. New cars often provide speech enabled communications such as voice-dial, as well as control over the car cockpit including entertainment systems, climate and satellite navigation. In addition there is the potential for a richer interaction between driver and car by automatically recognising the emotional state of the driver and responding intelligently and appropriately. Driver emotion and driving performance are often intrinsically linked and knowledge of the driver emotion can enable to the car to support the driving experience and encourage better driving. Automatically recognising driver emotion is a challenge and this paper presents a performance analysis of our in-car acoustic emotion recognition system.