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Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Capturing time and frequency relationships of time series signals offers an inherent barrier for automatic human activity recognition (HAR) from wearable sensor data. Extracting spatiotemporal context from the feature space of the sensor reading sequence is challenging for the current recurrent, con...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596348/ https://www.ncbi.nlm.nih.gov/pubmed/36311167 http://dx.doi.org/10.1007/s00521-022-07911-0 |