Device Position-Independent Human Activity Recognition with Wearable Sensors Using Deep Neural Networks

Device Position-Independent Human Activity Recognition with Wearable Sensors Using Deep Neural Networks

Human activity recognition (HAR) identifies people’s motions and actions in daily life. HAR research has grown with the popularity of internet-connected, wearable sensors that capture human movement data to detect activities. Recent deep learning advances have enabled more HAR research and applicati...

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Bibliographic Details
Main Authors: Sakorn Mekruksavanich, Anuchit Jitpattanakul
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
human activity recognition
position-independent sensing
wearable sensors
deep learning
residual neural network
Online Access:https://www.mdpi.com/2076-3417/14/5/2107

Internet

https://www.mdpi.com/2076-3417/14/5/2107

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