Feature selection for elderly faller classification based on wearable sensors
Abstract Background Wearable sensors can be used to derive numerous gait pattern features for elderly fall risk and faller classification; however, an appropriate feature set is required to avoid high computational costs and the inclusion of irrelevant features. The objectives of this study were to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-05-01
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| Series: | Journal of NeuroEngineering and Rehabilitation |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12984-017-0255-9 |