Abstract
We propose a system consisting of a wearable device equipped with photo-reflective sensors arranged in an array. Hand gestures are recognized by measuring the skin deformation of the back of the hand. Since the muscles and bones on the back of the hand are linked to the fingers, finger movement can be clearly observed. Skin deformation is measured using several photo-reflective sensors. Skin deformation can be determined by measuring the distance between the device and skin with these sensors. The system estimates hand gestures with a support vector machine using the sensor data. Since this system simultaneously records the hand shape using Leap Motion in the learning phase, a user can freely register gestures. The system further displays a reconstructed digital hand as a gesture-recognition result.
| Original language | English |
|---|---|
| Title of host publication | 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1082-1087 |
| Number of pages | 6 |
| Volume | 2017-November |
| ISBN (Electronic) | 9784907764579 |
| DOIs | |
| Publication status | Published - 2017 Nov 10 |
| Event | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan Duration: 2017 Sep 19 → 2017 Sep 22 |
Other
| Other | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
|---|---|
| Country | Japan |
| City | Kanazawa |
| Period | 17/9/19 → 17/9/22 |
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Keywords
- Hand Gesture
- Photo-Reflective Sensor
- Skin Deformation
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Control and Systems Engineering
- Instrumentation
Cite this
Behind the palm : Hand gesture recognition through measuring skin deformation on back of hand by using optical sensors. / Sugiura, Yuta; Nakamura, Fumihiko; Kawai, Wataru; Kikuchi, Takashi; Sugimoto, Maki.
2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. p. 1082-1087.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Behind the palm
T2 - Hand gesture recognition through measuring skin deformation on back of hand by using optical sensors
AU - Sugiura, Yuta
AU - Nakamura, Fumihiko
AU - Kawai, Wataru
AU - Kikuchi, Takashi
AU - Sugimoto, Maki
PY - 2017/11/10
Y1 - 2017/11/10
N2 - We propose a system consisting of a wearable device equipped with photo-reflective sensors arranged in an array. Hand gestures are recognized by measuring the skin deformation of the back of the hand. Since the muscles and bones on the back of the hand are linked to the fingers, finger movement can be clearly observed. Skin deformation is measured using several photo-reflective sensors. Skin deformation can be determined by measuring the distance between the device and skin with these sensors. The system estimates hand gestures with a support vector machine using the sensor data. Since this system simultaneously records the hand shape using Leap Motion in the learning phase, a user can freely register gestures. The system further displays a reconstructed digital hand as a gesture-recognition result.
AB - We propose a system consisting of a wearable device equipped with photo-reflective sensors arranged in an array. Hand gestures are recognized by measuring the skin deformation of the back of the hand. Since the muscles and bones on the back of the hand are linked to the fingers, finger movement can be clearly observed. Skin deformation is measured using several photo-reflective sensors. Skin deformation can be determined by measuring the distance between the device and skin with these sensors. The system estimates hand gestures with a support vector machine using the sensor data. Since this system simultaneously records the hand shape using Leap Motion in the learning phase, a user can freely register gestures. The system further displays a reconstructed digital hand as a gesture-recognition result.
KW - Hand Gesture
KW - Photo-Reflective Sensor
KW - Skin Deformation
UR - http://www.scopus.com/inward/record.url?scp=85044171732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044171732&partnerID=8YFLogxK
U2 - 10.23919/SICE.2017.8105457
DO - 10.23919/SICE.2017.8105457
M3 - Conference contribution
AN - SCOPUS:85044171732
VL - 2017-November
SP - 1082
EP - 1087
BT - 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -