A Full-Body Gesture Database for Automatic Gesture Recognition
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Practical motion capture in everyday surroundings
ACM SIGGRAPH 2007 papers
Multi-Modal Built-In Self-Test for Symmetric Microsystems
VTS '04 Proceedings of the 22nd IEEE VLSI Test Symposium
Review: From wireless sensor networks towards cyber physical systems
Pervasive and Mobile Computing
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While social networks on Web platforms have attracted a lot of interests, including more natural and physical inputs into such systems to enhance human interaction is desirable. Using body-area sensor networks (BSNs) to capture human motions opens up an opportunity toward this goal. These motivate us to design a novel virtual-physical social network platform1 with typical social network functions and capable of receiving various inputs from remote BSNs. Through our platform, users can share conventional messages and images as well as sensory data in several interesting ways. We demonstrate a Tai-Chi exercise social network and some testing results.