Computer technologies that support Kansei expression using the body
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Affect computing in film through sound energy dynamics
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Body-Brush: a body-driven interface for visual aesthetics
Proceedings of the tenth ACM international conference on Multimedia
A Multiprocessor Kernel for Active Object-Based Systems
JMLC '00 Proceedings of the Joint Modular Languages Conference on Modular Programming Languages
Context Awareness by Analyzing Accelerometer Data
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Affective computing: challenges
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Wearable sensing to annotate meeting recordings
Personal and Ubiquitous Computing
PadNET: Wearable Physical Activity Detection Network
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Affective content detection using HMMs
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Interactive systems design: a KANSEI-based approach
NIME '02 Proceedings of the 2002 conference on New interfaces for musical expression
New fair QoS-based charging solution for mobile multimedia streams
International Journal of Virtual Technology and Multimedia
A novel approach for improving the quality of service for wireless video transcoding
Journal of Mobile Multimedia
Human motion recognition using a wireless sensor-based wearable system
Personal and Ubiquitous Computing
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We present a mobile, multimedia system based on a network of body worn motion sensors, a wearable computer and a visualization engine that is used to produce a visual enhancement of Butoh dance performance. The core of the system is a novel motion classification scheme that allows us to capture the emotion expressed by the dancer during the performance and map it onto scripted visual effects. We describe the artistic concept behind the multimedia enhancement, the motion classification scheme and the system architecture. In an experimental evaluation we investigate the usefulness and the robustness of the wearable computer as well as the classification accuracy of the motion-sensing system. We also summarize the experiences with using the system for live performances on stage in several shows.