RNN-based deep learning for physical activity recognition using smartwatch sensors: a case study of simple and complex activity recognition
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Publication:2686722
DOI10.3934/MBE.2022265OpenAlexW4226343225MaRDI QIDQ2686722
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Publication date: 28 February 2023
Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/mbe.2022265
deep learninghuman activity recognitionbidirectional gated recurrent unitcomplex human activitysmartwatch sensors
Uses Software
Cites Work
- BERT
- A daily activity feature extraction approach based on time series of sensor events
- Federated personalized random forest for human activity recognition
- A lightweight double-channel depthwise separable convolutional neural network for multimodal fusion gait recognition
- Intuitionistic fuzzy normed prime and maximal ideals
- Unnamed Item
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