Evaluating and optimising accelerometer-based gesture recognition techniques for mobile devices
Africon 2009 (2009)
- ISBN: 9781424439188
- DOI: 10.1109/AFRCON.2009.5308175
Available from
Gerrit Niezen's profile on Mendeley.
or
Abstract
The objective of this study was to evaluate the various gesture recognition algorithms currently in use, after which the most suitable algorithm was optimized in order to implement it on a mobile device. Gesture recognition techniques studied include hidden Markov models, artificial neural networks and dynamic time warping. A dataset for evaluating the gesture recognition algorithms was gathered using a mobile device's embedded accelerometer. The algorithms were evaluated based on computational efficiency, recognition accuracy and storage efficiency. The optimized algorithm was implemented on the mobile device to test the empirical validity of the study.
Page 1
Evaluating and optimising accelerometer-based gesture recognition techniques for mobile devices
Plain text is unavailable for this page.
Sign up today - FREE
Mendeley saves you time finding and organizing research. Learn more
- All your research in one place
- Add and import papers easily
- Access it anywhere, anytime
Start using Mendeley in seconds!
Readership Statistics
5 Readers on Mendeley
by Discipline
by Academic Status
60% Student (Bachelor)
40% Ph.D. Student
by Country
20% United Kingdom
20% Netherlands
20% Denmark