Gesture Recognition Based on Acceleration Sensor

Zhi Gang Wu; Hong Bin Dai

doi:10.4028/www.scientific.net/AMM.602-605.1598

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Gesture Recognition Based on Acceleration Sensor

Gesture Recognition Based on Acceleration Sensor

Abstract:

With the rapid development of smart devices and wearable devices, gesture recognition based on the acceleration sensors is becoming one of the current hot research topic.In order to resolve the high complexity of time and space issues in gesture recognition based on acceleration sensor,this paper presents a feature extraction and matching method based on the key points.Experiments show that the method could greatly reducing the computational complexity.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1598-1601

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1598

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Online since:

August 2014

Authors:

Zhi Gang Wu*, Hong Bin Dai

Keywords:

Acceleration Sensor, Gesture Recognition, Series Matching, Time Series

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* - Corresponding Author

References

[1] Jing Lei, Ma Wenjun, Chang Danhua. The gestureacceleration signal recognition dynamic time warping of thesensing technology based on 2012, 01: 72-76. [J]. Journal.

Google Scholar

[2] Chen Yi, Yang Ping, Chen Xuguang. A method of gesture recognition feature extraction of the acceleration sensing technology based on 2012, 08: 1073-1078 [J]. Journal.

Google Scholar

[3] Y. Geng, J. Chen, K. Pahlavan, Motion detection using RF signals for the first responder in emergency operations: A PHASER project[C], 2013 IEEE 24nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), London, Britain Sep. (2013).

DOI: 10.1109/pimrc.2013.6666161

Google Scholar

[4] Y. Geng, J. He, K. Pahlavan, Modeling the Effect of Human Body on TOA Based Indoor Human Tracking[J], International Journal of Wireless Information Networks 20(4), 306-317.

DOI: 10.1007/s10776-013-0227-3

Google Scholar