On the Use of a Convolutional Block Attention Module in Deep Learning-Based Human Activity Recognition with Motion Sensors

On the Use of a Convolutional Block Attention Module in Deep Learning-Based Human Activity Recognition with Motion Sensors

Sensor-based human activity recognition with wearable devices has captured the attention of researchers in the last decade. The possibility of collecting large sets of data from various sensors in different body parts, automatic feature extraction, and aiming to recognize more complex activities hav...

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Bibliographic Details
Main Authors: Sumeyye Agac, Ozlem Durmaz Incel
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Diagnostics
Subjects:
human activity recognition
motion sensors
convolutional neural networks
hybrid deep models
attention mechanism
channel attention
Online Access:https://www.mdpi.com/2075-4418/13/11/1861

Internet

https://www.mdpi.com/2075-4418/13/11/1861

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