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dc.contributor.authorWu, Fang-Jingen_US
dc.contributor.authorHuang, Chen-Shaoen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.date.accessioned2019-12-13T01:12:51Z-
dc.date.available2019-12-13T01:12:51Z-
dc.date.issued2010-01-01en_US
dc.identifier.isbn978-1-60558-988-6en_US
dc.identifier.urihttp://dx.doi.org/10.1145/1791212.1791289en_US
dc.identifier.urihttp://hdl.handle.net/11536/153283-
dc.description.abstractWhile 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 platform 1 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.en_US
dc.language.isoen_USen_US
dc.subjectbody sensor networken_US
dc.subjectmotion recognitionen_US
dc.subjectpervasive computingen_US
dc.subjectsocial networken_US
dc.subjectwireless sensor networken_US
dc.titleDemo Abstract: My Tai-Chi Book: A Virtual-Physical Social Network Platformen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1145/1791212.1791289en_US
dc.identifier.journalPROCEEDINGS OF THE 9TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKSen_US
dc.citation.spage428en_US
dc.citation.epage429en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000493139500065en_US
dc.citation.woscount4en_US
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