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dc.contributor.author Greenwood, Chirs -
dc.contributor.author Nirjon, Shahriar -
dc.contributor.author Stankovic, John A. -
dc.contributor.author Yoon, Hee Jung -
dc.contributor.author Ra, Ho-Kyeong -
dc.contributor.author Park, Taejoon -
dc.contributor.author Son, Sang Hyuk -
dc.date.available 2017-07-11T07:55:12Z -
dc.date.created 2017-05-08 -
dc.date.issued 2013 -
dc.identifier.isbn 9780000000000 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3832 -
dc.description.abstract Falls are a significant problem for the elderly living independently in the home. Many falls occur due to household objects left in open spaces. We present KinSpace, a system that uses real-time depth data and human-in-the-loop feedback to adjust its understanding of the open space of an environment. We present results showing the effectiveness of our underlying technical solutions in identifying open spaces and obstacles. The results for both lab testing and a small deployment in an actual home show over 80% accuracy for open space detection and 70% accuracy in obstacle detection even in the presence of many real world issues. -
dc.publisher Association for Computing Machinery -
dc.relation.ispartof 11th ACM Conference on Embedded Networked Sensor Systems, SenSys 2013 -
dc.title Poster abstract: KinSpace: to provide fall prevention using kinect -
dc.type Conference Paper -
dc.identifier.doi 10.1145/2517351.2517438 -
dc.identifier.scopusid 2-s2.0-84905695012 -
dc.identifier.bibliographicCitation 11th ACM Conference on Embedded Networked Sensor Systems, SenSys 2013 -
dc.citation.conferenceDate 2013-11-11 -
dc.citation.conferencePlace US -
dc.citation.conferencePlace Rome -
dc.citation.title 11th ACM Conference on Embedded Networked Sensor Systems, SenSys 2013 -
dc.type.docType Conference Paper -
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Department of Electrical Engineering and Computer Science RTCPS(Real-Time Cyber-Physical Systems) Lab 2. Conference Papers

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