Paper Info
Title
An Acceleration Feature-Based Gesture Recognition System
Abstract
With the diversification of the sensing element that was built-in smart mobile device, it has become one of the important devices in people's daily life. Among these sensors, the accelerometer is the most common sensor that was embedded in smart mobile device. Therefore, this study proposed a gesture recognition algorithm based on the acceleration feature. It utilized the fuzzy control technique to classify different gestures. The proposed gesture recognition system provides a low complexity and high accuracy gesture recognition method. The simulation results show that the proposed method can recognize these gestures that include tilted to the left side, turn to the other side, shaking, and Z-shaped and have the accuracy rate of more than 91%. In future works, the system can be applied in health care systems or smart home applications to provide intuitive manipulation via specific gesture.
Year
DOI
Venue
2013
10.1109/SMC.2013.650
SMC
Keywords
Field
DocType
gesture recognition algorithm,accuracy rate,smart mobile device,proposed gesture recognition system,smart home application,specific gesture,high accuracy gesture recognition,different gesture,acceleration feature-based gesture recognition,built-in smart mobile device,gesture recognition,fuzzy set theory,sensors,fuzzy control,feature extraction,accelerometers
Computer vision,Computer science,Accelerometer,Gesture,Gesture recognition,Speech recognition,Home automation,Feature extraction,Mobile device,Artificial intelligence,Acceleration,Fuzzy control system
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Hung-Chi Chu19015.75
Sheng-Chih Huang261.25
Jiun-Jiam Liaw300.34