Affective computing
Emotions in HCI: an affective e-learning system
VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
Using physical activity for user behavior analysis
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
In the Mood: Tagging Music with Affects
Affect and Emotion in Human-Computer Interaction
Activity Recognition for Everyday Life on Mobile Phones
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
AFFectIX: an affective component as part of an e-learning-system
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Towards detecting cognitive load and emotions in usability studies using the realEYES framework
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
A survey on wearable sensor-based systems for health monitoring and prognosis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Proceedings of the 21st ACM international conference on Multimedia
Situation fencing: making geo-fencing personal and dynamic
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
Hi-index | 0.00 |
Interest in emotion detection is increasing significantly. For research and development in the field of Affective Computing and emotion-aware interaction techniques, reliable and robust technology is needed for detecting emotional signs in users under everyday conditions. In this paper, a novel wearable system for measuring emotion-related physiological parameters is presented. Currently heart rate, skin conductivity, and skin temperature are taken; further sensors can easily be added. The system is very easy to use, robust, and suitable for mobile and long-time logging of data. It has an open architecture and can easily be integrated into other systems or applications. The system is designed for use in emotion research as well as in everyday affective applications.