HandButton : gesture recognition of transceiver-free object by using wireless networks

Dian ZHANG, Weiling ZHENG

Research output: Journal PublicationsJournal Article (refereed)

1 Scopus Citations

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.
Original languageEnglish
Pages (from-to)787-806
Number of pages20
JournalKSII Transactions on Internet and Information Systems
Volume10
Issue number2
DOIs
Publication statusPublished - 29 Feb 2016
Externally publishedYes

Bibliographical note

This work was supported by the National Natural Science Foundation of China (Grant No.61202377, U1301251), National High Technology Joint Research Program of China (Grant No.2015AA015305), Science and Technology Planning Project of Guangdong Province (Grant No.2013B090500055) and Guangdong Natural Science Foundation (Grant No.2014A030313553).

Keywords

  • RSSI
  • Gesture recognition
  • transceiver-free
  • wireless sensor networks

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