RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition

RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition

Currently, identification of complex human activities is experiencing exponential growth through the use of deep learning algorithms. Conventional strategies for recognizing human activity generally rely on handcrafted characteristics from heuristic processes in time and frequency domains. The advan...

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Bibliographic Details
Main Authors: Sakorn Mekruksavanich, Anuchit Jitpattanakul
Format: Article
Language:English
Published: AIMS Press 2022-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
human activity recognition
complex human activity
smartwatch sensors
bidirectional gated recurrent unit
deep learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022265?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2022265?viewType=HTML

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