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

Dian ZHANG; Weiling ZHENG

doi:10.3837/tiis.2016.02.019

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

Dian ZHANG^*
, Weiling ZHENG

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

1 Citation (Scopus)

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 language	English
Pages (from-to)	787-806
Number of pages	20
Journal	KSII Transactions on Internet and Information Systems
Volume	10
Issue number	2
Early online date	29 Feb 2016
DOIs	https://doi.org/10.3837/tiis.2016.02.019
Publication status	Published - Feb 2016
Externally published	Yes

Funding

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

Gesture recognition
RSSI
Transceiver-free
Wireless sensor networks

Access to Document

10.3837/tiis.2016.02.019

Cite this

@article{4932d61793204e66acf41ed76c75ce59,

title = "HandButton: Gesture recognition of transceiver-free object by using wireless networks",

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.",

keywords = "Gesture recognition, RSSI, Transceiver-free, Wireless sensor networks",

author = "Dian ZHANG and Weiling ZHENG",

year = "2016",

month = feb,

doi = "10.3837/tiis.2016.02.019",

language = "English",

volume = "10",

pages = "787--806",

journal = "KSII Transactions on Internet and Information Systems",

issn = "1976-7277",

publisher = "Korean Society for Internet Information",

number = "2",

}

TY - JOUR

T1 - HandButton: Gesture recognition of transceiver-free object by using wireless networks

AU - ZHANG, Dian

AU - ZHENG, Weiling

PY - 2016/2

Y1 - 2016/2

N2 - 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.

AB - 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.

KW - Gesture recognition

KW - RSSI

KW - Transceiver-free

KW - Wireless sensor networks

UR - https://www.scopus.com/pages/publications/84959329664

U2 - 10.3837/tiis.2016.02.019

DO - 10.3837/tiis.2016.02.019

M3 - Journal Article (refereed)

AN - SCOPUS:84959329664

SN - 1976-7277

VL - 10

SP - 787

EP - 806

JO - KSII Transactions on Internet and Information Systems

JF - KSII Transactions on Internet and Information Systems

IS - 2

ER -

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

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this