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URN: urn:nbn:de:swb:90-413064

Group Activity Recognition Using Wearable Sensing Devices

Gordon, Dawud

Understanding behavior of groups in real time can help prevent tragedy in crowd emergencies. Wearable devices allow sensing of human behavior, but the infrastructure required to communicate data is often the first casualty in emergency situations. Peer-to-peer (P2P) methods for recognizing group behavior are necessary, but the behavior of the group cannot be observed at any single location. The contribution is the methods required for recognition of group behavior using only wearable devices.

Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Hochschulschrift
Jahr 2014
Sprache Englisch
Identifikator KITopen ID: 1000041306
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Telematik (TM)
Prüfungsdaten 17.04.2014
Referent/Betreuer Prof. M. Beigl
Schlagworte Group Activity Recognition, Emergent Behavior, Distributed Computing, Mobile Computing, Wearable Computing
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