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Classification of holding hand for dynamic interface adjustment on mobile devices | IEEE Conference Publication | IEEE Xplore

Classification of holding hand for dynamic interface adjustment on mobile devices


Abstract:

This work proposes a gesture-based left and right hand recognition algorithm for dynamic interface adjustment by using the information of the accelerometer and the touch ...Show More

Abstract:

This work proposes a gesture-based left and right hand recognition algorithm for dynamic interface adjustment by using the information of the accelerometer and the touch screen on a mobile device. We design a warping method that aligns accelerometer signals with their corresponding positions of unlock-screen gestures. By projecting samples onto feature space and using a support vector machine classifier, the proposed method yields high recognition accuracy. The experiments also show that the proposed method is able to make correct decisions for a new user without pre-gathering information from the user.
Date of Conference: 07-10 October 2014
Date Added to IEEE Xplore: 05 February 2015
Electronic ISBN:978-1-4799-5145-1
Print ISSN: 2378-8143
Conference Location: Tokyo, Japan

References

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