Enabling always-available input with muscle-computer interfaces
- 4 October 2009
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 167-176
- https://doi.org/10.1145/1622176.1622208
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 muscle-computer 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.Keywords
This publication has 18 references indexed in Scilit:
- DISCRIMINATION OF MENTAL WORKLOAD LEVELS IN HUMAN SUBJECTS WITH FUNCTIONAL NEAR-INFRARED SPECTROSCOPYJournal of Innovative Optical Health Sciences, 2008
- Techniques of EMG signal analysis: detection, processing, classification and applicationsBiological Procedures Online, 2006
- Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterionMedical & Biological Engineering & Computing, 2006
- PlayAnywherePublished by Association for Computing Machinery (ACM) ,2005
- Neuro-Fuzzy Control of a Robotic Exoskeleton With EMG SignalsIEEE Transactions on Fuzzy Systems, 2004
- TalkBackPublished by Association for Computing Machinery (ACM) ,2003
- A robust, real-time control scheme for multifunction myoelectric controlIEEE Transactions on Biomedical Engineering, 2003
- Classification of finger activation for use in a robotic prosthesis armIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002
- PhidgetsPublished by Association for Computing Machinery (ACM) ,2001
- Myoelectric teleoperation of a complex robotic handIEEE Transactions on Robotics and Automation, 1996