Applying electric field sensing to human-computer interfaces
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personal area networks: near-field intrabody communication
IBM Systems Journal
Enabling always-available input with muscle-computer interfaces
Proceedings of the 22nd annual ACM symposium on User interface software and technology
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Skinput: appropriating the body as an input surface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Your noise is my command: sensing gestures using the body as an antenna
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Active bone-conducted sound sensing for wearable interfaces
Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
Pub - point upon body: exploring eyes-free interaction and methods on an arm
Proceedings of the 24th annual ACM symposium on User interface software and technology
SonarWatch: appropriating the forearm as a slider bar
SIGGRAPH Asia 2011 Emerging Technologies
Touché: enhancing touch interaction on humans, screens, liquids, and everyday objects
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Humantenna: using the body as an antenna for real-time whole-body interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using rhythmic patterns as an input method
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Recent work has shown that the body provides an interesting interaction platform. We propose a novel sensing technique based on transdermal low-frequency ultrasound propagation. This technique enables pressure-aware continuous touch sensing as well as arm-grasping hand gestures on the human body. We describe the phenomena we leverage as well as the system that produces ultrasound signals on one part of the body and measures this signal on another. The measured signal varies according to the measurement location, forming distinctive propagation profiles which are useful to infer on-body touch locations and on-body gestures. We also report on a series of experimental studies with 20 participants that characterize the signal, and show robust touch and gesture classification along the forearm.