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...

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Detalles Bibliográficos
Autores principales: Sarkar, Apu, Hossain, S. K. Sabbir, Sarkar, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
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

Internet

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

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