• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

HandButton: Gesture Recognition of Transceiver-free Object by Using Wireless Networks

Vol. 10, No. 2, February 28, 2016
10.3837/tiis.2016.02.019, Download Paper (Free):

Abstract

Traditional radio-based gesture recognition approaches usually require the target to carry a device (e.g., an EMG sensor or an accelerometer sensor). However, such requirement cannot be satisfied in many applications. For example, in smart home, users want to control the light on/off by some specific hand gesture, without finding and pressing the button especially in dark area. They will not carry any device in this scenario. To overcome this drawback, in this paper, we propose three algorithms able to recognize the target gesture (mainly the human hand gesture) without carrying any device, based on just Radio Signal Strength Indicator (RSSI). Our platform utilizes only 6 telosB sensor nodes with a very easy deployment. Experiment results show that the successful recognition radio can reach around 80% in our system.


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Cite this article

[IEEE Style]
D. Zhang and W. Zheng, "HandButton: Gesture Recognition of Transceiver-free Object by Using Wireless Networks," KSII Transactions on Internet and Information Systems, vol. 10, no. 2, pp. 787-806, 2016. DOI: 10.3837/tiis.2016.02.019.

[ACM Style]
Dian Zhang and Weiling Zheng. 2016. HandButton: Gesture Recognition of Transceiver-free Object by Using Wireless Networks. KSII Transactions on Internet and Information Systems, 10, 2, (2016), 787-806. DOI: 10.3837/tiis.2016.02.019.

[BibTeX Style]
@article{tiis:21026, title="HandButton: Gesture Recognition of Transceiver-free Object by Using Wireless Networks", author="Dian Zhang and Weiling Zheng and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.02.019}, volume={10}, number={2}, year="2016", month={February}, pages={787-806}}