Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12530-024-09570-z.pdf
Reference45 articles.
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3. Baloch Z, Shaikh FK, Unar MA (2022) CNN-LSTM-based late sensor fusion for human activity recognition in big data networks. Wirel Commun Mob Comput. https://doi.org/10.1155/2022/3434100
4. Barua A, Fuller D, Musa S, Jiang X (2022) Exploring orientation invariant heuristic features with variant window length of 1D-CNN-LSTM in human activity recognition. Biosensors (Basel). https://doi.org/10.3390/BIOS12070549
5. Beaulieu A, Thullier F, Bouchard K et al (2022) Ultra-wideband data as input of a combined EfficientNet and LSTM architecture for human activity recognition. J Ambient Intell Smart Environ 14:157–172. https://doi.org/10.3233/AIS-210462
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