doi: 10.4304/jsw.6.6.1042-1049
Accelerometer Based Gesture Recognition Using Fusion Features and SVM
Abstract—In this paper, a gesture recognition system based on single tri-axis accelerometer mounted on a cell phone is proposed. We present a novel human computer interaction for cell phone through recognizing seventeen complex gestures. A new feature fusion method for gesture recognition based on time-domain and frequency-domain is proposed. First of all, we extract the time-domain features from acceleration data, that is short-time energy. Secondly, we extract the hybrid features which combine Wavelet Packet Decomposition with Fast Fourier Transform. Finally, we fuse these two categories features together and employ the principal component analysis to reduce dimension of fusion features. The Classifier we used is Multi-class Support Vector Machine. The average recognition results of seventeen complex gestures using the proposed fusion feature are 89.89%, which better than previous works. The performance of experimental results show that gesturebased interaction can be used as a novel human computer interaction for mobile device and consumer electronics.
Index Terms—Gesture recognition, Tri-axial accelerometer, fusion features, human computer interaction, short-time energy
Cite: Zhenyu He, "Accelerometer Based Gesture Recognition Using Fusion Features and SVM," Journal of Software vol. 6, no. 6, pp. 1042-1049, 2011.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
-
Jun 12, 2024 News!
Vol 19, No 2 has been published with online version [Click]
-
Jan 04, 2024 News!
JSW will adopt Article-by-Article Work Flow
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Mar 01, 2024 News!
Vol 19, No 1 has been published with online version [Click]