Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Progress in Ambulatory Assessment
Progress in Ambulatory Assessment
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
The Mobile Sensing Platform: An Embedded Activity Recognition System
IEEE Pervasive Computing
Mobile Heart Health: Project Highlight
IEEE Pervasive Computing
Sensors Model Student Self Concept in the Classroom
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Challenges to building Bluetooth-based sensing solutions
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Detecting stress during real-world driving tasks using physiological sensors
IEEE Transactions on Intelligent Transportation Systems
A wearable health care system based on knitted integrated sensors
IEEE Transactions on Information Technology in Biomedicine
Recognition of visual memory recall processes using eye movement analysis
Proceedings of the 13th international conference on Ubiquitous computing
Recording affect in the field: towards methods and metrics for improving ground truth labels
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Understanding physiological responses to stressors during physical activity
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Predicting audience responses to movie content from electro-dermal activity signals
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Towards in situ affect detection in mobile devices: a multimodal approach
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Towards a mobile galvanic skin response measurement system for mentally disordered patients
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
ACM SIGAPP Applied Computing Review
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We conducted a 19 participant study using a system comprised of wireless galvanic skin response (GSR), heart rate (HR), activity sensors and a mobile phone for aggregating sensor data and enabling affect logging by the user. Each participant wore the sensors daily for five days, generating approximately 900 hours of continuous data. We found that analysis of emotional events was highly dependent on correct windowing and report results on synthesized windows around annotated events. Where raters agreed on the timing and quality of the emotion we were able to recognize 85% of the high and low energy emotions and 70% of the positive and negative emotions. We also gained many insights regarding participant's perception of their emotional state and the complexity of emotion in real life.