UIST'09: Enabling Always-Available Input with Muscle-Computer Interfaces

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ACMUISTConference
October 19, 2009

Presented at UIST (ACM Symposium on User Interface Software and Technology) http://www.acm.org/uist/ PAPER ABSTRACT: Previous work has demonstrated the viability of applying offline analysis to i...

Presented at UIST (ACM Symposium on User Interface Software and Technology) http://www.acm.org/uist/

PAPER ABSTRACT:
Previous work has demonstrated the viability of applying offline analysis to interpret forearm electromyography (EMG) and classify finger gestures on a physical surface. We extend those results to bring us closer to using musclecomputer interfaces for always-available input in real-world applications. We leverage existing taxonomies of natural human grips to develop a gesture set covering interaction in free space even when hands are busy with other objects. We present a system that classifies these gestures in real-time and we introduce a bi-manual paradigm that enables use in interactive systems. We report experimental results demonstrating four-finger classification accuracies averaging 79% for pinching, 85% while holding a travel mug, and 88% when carrying a weighted bag. We further show generalizability across different arm postures and explore the tradeoffs of providing real-time visual feedback.

AUTHORS:
T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin Balakrishnan, Jim Turner, James A. Landay
University of Washington, Microsoft Research, Microsoft Corporation, University of Toronto

LINK TO PUBLICATION:
http://doi.acm.org/10.1145/1622176.16...

ACM COPYRIGHT NOTICE. Copyright © 2009 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

Category: Science & Technology

Tags:

UIST user interface software technology research muscle computer Electromyography EMG mobile

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UIST'09: Enabling Always-Available Input with Muscle-Computer Interfaces

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