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

Autor: Sigg, Stephan, Shi, Shuyu, Ji, Yusheng
Zdroj: International Journal of Ambient Computing and Intelligence; January 2014, Vol. 6 Issue: 1 p20-34, 15p
Abstrakt: 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.
Databáze: Supplemental Index