Optimization of deep neural network-based human activity recognition for a wearable device

Author:

Suwannarat K.,Kurdthongmee W.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference18 articles.

1. Human activity recognition: a survey;Jobanputra;Proc. Comp. Sci.,2019

2. Multilevel depth and image fusion for human activity detection;Ni;IEEE Trans. Cybern.,2013

3. A study on human activity recognition using accelerometer data from smartphones;Bayat;Proc. Comp. Sci.,2014

4. Deep learning for sensor-based activity recognition: a survey;Wang;Pattern Recogn. Lett.,2019

5. A deep learning approach to human activity recognition based on single accelerometer;Chen;IEEE Int. Conf. Syst. Man Cybern.,2015

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2. Analysis of Machine Learning Models for Wearable Devices Centric Human Activity Recognition;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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4. Patterns in Human Activity Recognition Through Machine Learning Analysis Towards 6G Applications;Lecture Notes in Networks and Systems;2024

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