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 | |
| 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 |
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Keywords
- gesture recognition
- RSSI
- transceiver-free
- wireless sensor networks
Cite this
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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) › Research › peer-review
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)
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.
ER -