Optimal Recognition Method of Human Activities Using Artificial Neural Networks
The aim of this research is an exhaustive analysis of the various factors that may influence the recognition rate of the human activity using wearable sensors data. We made a total of 1674 simulations on a publically released human activity database by a group of researcher from the University of Ca...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2015-12-01
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| Series: | Measurement Science Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/msr-2015-0044 |