Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data

Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data

The recognition of human activities (HAR) using wearable device data, such as smartwatches, has gained significant attention in the field of computer science due to its potential to provide insights into individuals’ daily activities. This article aims to conduct a comparative study of deep learning...

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Bibliographic Details
Main Authors: Ariany F. Cavalcante, Victor H. de L. Kunst, Thiago de M. Chaves, Júlia D. T. de Souza, Isabela M. Ribeiro, Jonysberg P. Quintino, Fabio Q. B. da Silva, André L. M. Santos, Veronica Teichrieb, Alana Elza F. da Gama
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
human activity recognition
neural networks
smartwatch
wearable sensor data
Online Access:https://www.mdpi.com/1424-8220/23/17/7493

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https://www.mdpi.com/1424-8220/23/17/7493

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