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Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition

Many studies have explored divergent deep neural networks in human activity recognition (HAR) using a single accelerometer sensor. Multiple types of deep neural networks, such as convolutional neural networks (CNN), long short-term memory (LSTM), or their hybridization (CNN-LSTM), have been implemen...

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Detalles Bibliográficos
Autores principales: Barua, Arnab, Fuller, Daniel, Musa, Sumayyah, Jiang, Xianta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313140/
https://www.ncbi.nlm.nih.gov/pubmed/35884354
http://dx.doi.org/10.3390/bios12070549

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