Teach Your WiFi-Device : Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features
: Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features
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Medientyp:
E-Artikel
Titel:
Teach Your WiFi-Device : Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features
:
Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features
Beteiligte:
Sigg, Stephan;
Shi, Shuyu;
Ji, Yusheng
Erschienen:
IGI Global, 2014
Erschienen in:International Journal of Ambient Computing and Intelligence
Beschreibung:
<p>The authors consider two untackled problems in RF-based activity recognition: the distinction of simultaneously conducted activities of individuals and the recognition of gestures from purely time-domain-based features. Recognition is based on a single antenna system. This is important for the application in end-user devices which are usually single-antenna systems and have seldom access to more sophisticated, e.g. frequency-based features. In case studies with software defined radio nodes utilised in an active, device-free activity recognition (DFAR) system, the authors observe a good recognition accuracy for the detection of multiple simultaneously conducted activities with two and more receive devices. Four gestures and two baseline situations are distinguished with good accuracy in a second case study.</p>