DocumentCode :
2604040
Title :
Accelerometer-based swinging gesture detection for an electronic handbell
Author :
Kasun, Liyanaarachchi Lekamalage Chamara ; Goh, Wooi-Boon
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2011
fDate :
14-17 June 2011
Firstpage :
272
Lastpage :
277
Abstract :
This paper tackles the problem of detecting the swinging action of an electronic handbell. It describes a threshold-based algorithm that is able to detect an orientation-free swinging motion using only the X and Y axis signals of an accelerometer that is mounted at the end of a handle. Equations governing the accelerations of the accelerometer are defined. The equations are used to select the appropriate accelerometer axis for swing motion detection, which were X axis and Y axis. The characteristics of the swing motion are identified empirically and incorporated to the swing detection algorithm. The experimental results for swinging motion performed by 4 users on the electronic bell show that the accuracy of swing motion detection is 95.3%.
Keywords :
accelerometers; audio signal processing; gesture recognition; accelerometer; electronic handbell; orientation-free swinging motion; swing motion detection; swinging gesture detection; threshold-based algorithm; Acceleration; Accelerometers; Accuracy; Equations; Gesture recognition; Hidden Markov models; Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium on
Conference_Location :
Singapore
ISSN :
0747-668X
Print_ISBN :
978-1-61284-843-3
Type :
conf
DOI :
10.1109/ISCE.2011.5973831
Filename :
5973831
Link To Document :
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