Teach Your WiFi-Device: Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features

Stephan Sigg, Shuyu Shi and Yusheng Ji
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Stephan Sigg: Goettingen University, Goettingen, Germany
Shuyu Shi: Department of Informatics, Graduate University for Advanced Studies, Japan
Yusheng Ji: Department of Informatics, Graduate University for Advanced Studies, Japan

International Journal of Ambient Computing and Intelligence (IJACI), 2014, vol. 6, issue 1, 20-34

Abstract: 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.

Date: 2014
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