Abstract
Gait authentication using a cell phone based accelerometer sensor offers an unobtrusive, user-friendly, and periodic way of authenticating individuals on their cell phones. In this study, we present an approach to deal with inevitable errors induced by continuously changing sensor orientation and other noise under a realistic scenario (when the phone is placed inside the trouser pockets and the user is walking) by using the magnitude data of tri-axes accelerometer and wavelet based noise elimination modules. This study utilizes a gait data set of 35 participants collected at their respective normal walking pace in two different sessions with an average gap of 25 days between the sessions.
| Original language | English |
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| Title of host publication | 12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014 |
| Editors | Yu-Hui Tao, Hsin-Chang Yang, I-Hsien Ting, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis |
| Publisher | ACM Press |
| Pages | 161-164 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450330084 |
| DOIs | |
| Publication status | Published - 8 Dec 2014 |
| Event | 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014) - Kaohsiung, Taiwan, China Duration: 8 Dec 2014 → 10 Dec 2014 http://www.iiwas.org/conferences/momm2014/ |
Publication series
| Name | 12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014 |
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Conference
| Conference | 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014) |
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| Country/Territory | China |
| City | Kaohsiung, Taiwan |
| Period | 08.12.2014 → 10.12.2014 |
| Internet address |
Keywords
- Accelerometer
- gait recognition
- segmentation
- variance
- wavelets
- Wavelets
- Segmentation
- Gait recognition
- Variance