@inproceedings{381b0de17bc2460a8f96eeb5b2c044ef,
title = "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 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.",
keywords = "Accelerometer, Dynamic Interface Adjustment, Gesture",
author = "Hsu, {Shih Han} and Cheng, {Hsu Yung} and Yu, {Chih Chang}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; null ; Conference date: 07-10-2014 Through 10-10-2014",
year = "2014",
month = feb,
day = "3",
doi = "10.1109/GCCE.2014.7031162",
language = "???core.languages.en_GB???",
series = "2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "112--114",
booktitle = "2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014",
}