Classification of holding hand for dynamic interface adjustment on mobile devices

Shih Han Hsu, Hsu Yung Cheng, Chih Chang Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-114
Number of pages3
ISBN (Electronic)9781479951451
DOIs
StatePublished - 3 Feb 2014
Event2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan
Duration: 7 Oct 201410 Oct 2014

Publication series

Name2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014

Conference

Conference2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
Country/TerritoryJapan
CityTokyo
Period7/10/1410/10/14

Keywords

  • Accelerometer
  • Dynamic Interface Adjustment
  • Gesture

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