Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data

Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data

Sensor-based human activity recognition (S-HAR) has become an important and high-impact topic of research within human-centered computing. In the last decade, successful applications of S-HAR have been presented through fruitful academic research and industrial applications, including for healthcare...

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Bibliographic Details
Main Authors: Sakorn Mekruksavanich, Anuchit Jitpattanakul
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
wrist-worn wearable sensors
accelerometer
gyroscope
complex human activity
deep learning
CNN
Online Access:https://www.mdpi.com/2079-9292/10/14/1685

Internet

https://www.mdpi.com/2079-9292/10/14/1685

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