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IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion
The wide spread usage of wearable sensors such as in smart watches has provided continuous access to valuable user generated data such as human motion that could be used to identify an individual based on his/her motion patterns such as, gait. Several methods have been suggested to extract various h...
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| Udgivet i: | Sensors (Basel) |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5750784/ https://ncbi.nlm.nih.gov/pubmed/29186887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17122735 |
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