Expression glasses: a wearable device for facial expression recognition
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Workshop on behavior-based user interface customization
Proceedings of the 9th international conference on Intelligent user interfaces
Communicating emotions in online chat using physiological sensors and animated text
CHI '04 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
The comforting presence of relational agents
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Heart on the road: HRV analysis for monitoring a driver's affective state
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Tandem: a context-aware method for spontaneous clustering of dynamic wireless sensor nodes
IOT'08 Proceedings of the 1st international conference on The internet of things
A study of mobile mood awareness and communication through MobiMood
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
Social navigation with the collective mobile mood monitoring system
Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
Identifying emotions expressed by mobile users through 2D surface and 3D motion gestures
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
MoodScope: building a mood sensor from smartphone usage patterns
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
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The introduction of mood as context of a mobile user opens up many opportunities for the design of novel context-aware services and applications. This paper presents the first prototype of a mobile system platform that is able to derive the mood of a person and make it available as a contextual building block to mobile services and application. The mood is derived based on physiological signals captured by a body sensor network. As a proof-of-concept application a simple mood based messaging service has been developed on top of the platform.