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

Weiling ZHENG; Dian ZHANG

doi:10.1109/ICC.2015.7249383

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

Weiling ZHENG, Dian ZHANG^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed)

2 Citations (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 hand gesture, without carrying any device. To overcome this draw-back, in this paper, we propose two 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 and is with a very easy deployment. Experiment results show that the successful recognition radio can reach around 80% in our system.

Original language	English
Title of host publication	2015 IEEE International Conference on Communications, ICC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6640-6645
Number of pages	6
ISBN (Electronic)	9781467364324
DOIs	https://doi.org/10.1109/ICC.2015.7249383
Publication status	Published - 2015
Externally published	Yes
Event	IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: 8 Jun 2015 → 12 Jun 2015

Publication series

Name	IEEE International Conference on Communications
Volume	2015-September
ISSN (Print)	1550-3607

Conference

Conference	IEEE International Conference on Communications, ICC 2015
Country	United Kingdom
City	London
Period	8/06/15 → 12/06/15

Keywords

gesture recognition
RSSI
transceiver-free
wireless sensor networks

Access to Document

10.1109/ICC.2015.7249383

Link to publication in Scopus

Fingerprint Dive into the research topics of 'HandButton : gesture recognition of transceiver-free object by using wireless networks'. Together they form a unique fingerprint.

Cite this

ZHENG, W., & ZHANG, D. (2015). HandButton : gesture recognition of transceiver-free object by using wireless networks. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 6640-6645). [7249383] (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7249383

@inproceedings{781ee3edbf9548d3ae079aa5b5cca05c,

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 hand gesture, without carrying any device. To overcome this draw-back, in this paper, we propose two 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 and is 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 = "Weiling ZHENG and Dian ZHANG",

year = "2015",

doi = "10.1109/ICC.2015.7249383",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6640--6645",

booktitle = "2015 IEEE International Conference on Communications, ICC 2015",

address = "United States",

note = "IEEE International Conference on Communications, ICC 2015 ; Conference date: 08-06-2015 Through 12-06-2015",

}

ZHENG, W & ZHANG, D 2015, HandButton : gesture recognition of transceiver-free object by using wireless networks. in 2015 IEEE International Conference on Communications, ICC 2015., 7249383, IEEE International Conference on Communications, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 6640-6645, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICC.2015.7249383

HandButton : gesture recognition of transceiver-free object by using wireless networks. / ZHENG, Weiling; ZHANG, Dian.

2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 6640-6645 7249383 (IEEE International Conference on Communications; Vol. 2015-September).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed)

TY - GEN

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

AU - ZHENG, Weiling

AU - ZHANG, Dian

PY - 2015

Y1 - 2015

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 hand gesture, without carrying any device. To overcome this draw-back, in this paper, we propose two 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 and is 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 hand gesture, without carrying any device. To overcome this draw-back, in this paper, we propose two 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 and is 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 - http://www.scopus.com/inward/record.url?scp=84953706015&partnerID=8YFLogxK

U2 - 10.1109/ICC.2015.7249383

DO - 10.1109/ICC.2015.7249383

M3 - Conference paper (refereed)

AN - SCOPUS:84953706015

T3 - IEEE International Conference on Communications

SP - 6640

EP - 6645

BT - 2015 IEEE International Conference on Communications, ICC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Communications, ICC 2015

Y2 - 8 June 2015 through 12 June 2015

ER -