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Device-Free, Radio-based Activity Recognition using Smart Home Wireless Communication Technologies

Scholz, Markus

Abstract:
This dissertation demonstrates the use of received signal strength to infer human activities. It has the following contributions: 1) Reference design of a device-free, 2.4GHz IEEE 802.15.4-based sensor system for Activity Recognition; 2) Fundamental description of influences affecting Activity Recognition performance; 3) Software design pattern for device-free, radio-based Inference Systems; 4) Development and characterization of three specialized device-free, radio-based Inference Systems

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Volltext §
DOI: 10.5445/IR/1000051304
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Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Hochschulschrift
Jahr 2015
Sprache Englisch
Identifikator urn:nbn:de:swb:90-513047
KITopen-ID: 1000051304
Verlag KIT, Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Telematik (TM)
Prüfungsdaten 08.07.2015
Referent/Betreuer Prof. M. Beigl
Schlagworte activity, recognition, device-free, radio, RSS
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