Pactolus: A method for mid-air gesture segmentation within EMG

Yineng Chen, Xiaojun Su, Feng Tian, Jin Huang, Xiaolong Zhang, Guozhong Dai, Hongan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Mid-air gestures have become an important interaction technique in natural user interfaces, especially in augmented reality and virtual reality. Supporting a set of continuous gesture-based commands in mid-air gesture interaction systems, such as selecting and moving then placing an object, however, remains to be a challenge. This is largely because these intentional command gestures are connected through transitional, meaningless gestures, which are often misleading for gesture recognition systems. The inability to separate unintentional movements from intentional command gestures, also called the Midas problem, limits the application of mid-air gestures. This paper addresses the Midas problem via a physiological computing approach. With the help of sensors that capture physiological signals, we present a novel method, Pactolus, for segmenting mid-air gestures using arm electromyography. User studies demonstrate the high accuracy of our approach in segmenting mid-air gestures interleaved by transitional hand or finger movements.

Original languageEnglish (US)
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1760-1765
Number of pages6
ISBN (Electronic)9781450340823
DOIs
StatePublished - May 7 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume07-12-May-2016

Other

Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period5/7/165/12/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Pactolus: A method for mid-air gesture segmentation within EMG'. Together they form a unique fingerprint.

  • Cite this

    Chen, Y., Su, X., Tian, F., Huang, J., Zhang, X., Dai, G., & Wang, H. (2016). Pactolus: A method for mid-air gesture segmentation within EMG. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 1760-1765). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 07-12-May-2016). Association for Computing Machinery. https://doi.org/10.1145/2851581.2892492