An efficient 3D convolutional neural network with informative 3D volumes for human activity recognition using wearable sensors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17400-8.pdf
Reference37 articles.
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3. Batool M, Jalal A, Kim K (2019) Sensors technologies for human activity analysis based on SVM optimized by PSO algorithm. In: 2019 international conference on applied and engineering mathematics (ICAEM). IEEE pp 145–150
4. Jalal A, Kim K (2020) Wearable inertial sensors for daily activity analysis based on adam optimization and the maximum entropy Markov model. Entropy 22(5):579
5. Oluwalade B, Neela S, Wawira J, Adejumo T, Purkayastha S (2021) "Human activity recognition using deep learning models on smartphones and smartwatches sensor data," arXiv preprint arXiv:2103.03836
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