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Surface Acoustic Arrays to Analyze Human Activities in Smart Environments

Fu, Biying ; Mettel, Matthias Ruben ; Kirchbuchner, Florian ; Braun, Andreas ; Kuijper, Arjan (2018)
Surface Acoustic Arrays to Analyze Human Activities in Smart Environments.
European Conference on Ambient Intelligence (AmI). Larnaca, Cyprus (2018)
doi: 10.1007/978-3-030-03062-9_10
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Smart Environments should be able to understand a user’s need without explicit interaction. In order to do that, one step is to build a system that is able to recognize and track some common activities of the user. This way, we can provide a system that provides various services for controlling installed appliances and offering help for every day activities. Applying these services in the users’ environment should make his life more comfortable, easier, and safer. In this paper, we will introduce an embedded sensor system using surface acoustic arrays to analyze human activities in a smart environment. We divided basic activity groups ranging from walking, cupboard closing to falling, including their extended sub-activity groups. We expanded walking into walking barefoot, with shoes and with high heels and further extended closing cupboard with three cupboards locating on different positions. We further investigated the usage of single pickup or a combination of 4 pickups with their effect on the recognition precision. We achieved an overall precision of 97.23% with 10-fold cross validation using support vector machine (SVM) for all sub-activity group combined. Even using one pickup only, we can achieve an overall precision of more than 93%, but we can further increase the precision by using a combination of pickups up to 97.23%.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Fu, Biying ; Mettel, Matthias Ruben ; Kirchbuchner, Florian ; Braun, Andreas ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: Surface Acoustic Arrays to Analyze Human Activities in Smart Environments
Sprache: Englisch
Publikationsjahr: 2018
Ort: Cham
Verlag: Springer
Buchtitel: Ambient Intelligence
Reihe: Lecture Notes in Computer Science (LNCS)
Band einer Reihe: 11249
Veranstaltungstitel: European Conference on Ambient Intelligence (AmI)
Veranstaltungsort: Larnaca, Cyprus
Veranstaltungsdatum: 2018
DOI: 10.1007/978-3-030-03062-9_10
URL / URN: https://doi.org/10.1007/978-3-030-03062-9_10
Kurzbeschreibung (Abstract):

Smart Environments should be able to understand a user’s need without explicit interaction. In order to do that, one step is to build a system that is able to recognize and track some common activities of the user. This way, we can provide a system that provides various services for controlling installed appliances and offering help for every day activities. Applying these services in the users’ environment should make his life more comfortable, easier, and safer. In this paper, we will introduce an embedded sensor system using surface acoustic arrays to analyze human activities in a smart environment. We divided basic activity groups ranging from walking, cupboard closing to falling, including their extended sub-activity groups. We expanded walking into walking barefoot, with shoes and with high heels and further extended closing cupboard with three cupboards locating on different positions. We further investigated the usage of single pickup or a combination of 4 pickups with their effect on the recognition precision. We achieved an overall precision of 97.23% with 10-fold cross validation using support vector machine (SVM) for all sub-activity group combined. Even using one pickup only, we can achieve an overall precision of more than 93%, but we can further increase the precision by using a combination of pickups up to 97.23%.

Freie Schlagworte: Human action recognition, Acoustic sensors, Motion detection
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 10 Jul 2019 08:30
Letzte Änderung: 10 Jul 2019 08:30
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