Abstract
Practical wearable gesture tracking requires that sensors align with existing ergonomic device forms. We show that combining EMG and pressure data sensed only at the wrist can support accurate classification of hand gestures. A pilot study with unintended EMG electrode pressure variability led to exploration of the approach in greater depth. The EMPress technique senses both finger movements and rotations around the wrist and forearm, covering a wide range of gestures, with an overall 10-fold cross validation classification accuracy of 96%. We show that EMG is especially suited to sensing finger movements, that pressure is suited to sensing wrist and forearm rotations, and their combination is significantly more accurate for a range of gestures than either technique alone. The technique is well suited to existing wearable device forms such as smart watches that are already mounted on the wrist.
Original language | English |
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Title of host publication | CHI '16: Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
Pages | 2332-2342 |
Number of pages | 11 |
ISBN (Electronic) | 9781450333627 |
DOIs | |
Publication status | Published - 31 May 2016 |
Event | 34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, USA United States Duration: 7 May 2016 → 12 May 2016 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Publisher | CHI |
Conference
Conference | 34th Annual Conference on Human Factors in Computing Systems, CHI 2016 |
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Country | USA United States |
City | San Jose |
Period | 7/05/16 → 12/05/16 |
Keywords
- Electromyography (EMG)
- Force sensitive resistors
- Hand gestures
- Practical wearable device design
- Pressure
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
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Profiles
-
Mike Fraser
- Department of Computer Science - Head of Department
- EPSRC Centre for Doctoral Training in Cyber Security
Person: Research & Teaching