A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition

A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition

With the development of wearable devices such as smartwatches, several studies have been conducted on the recognition of various human activities. Various types of data are used, e.g., acceleration data collected using an inertial measurement unit sensor. Most scholars segmented the entire timeserie...

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Bibliographic Details
Main Authors: Sang-hyub Lee, Deok-Won Lee, Mun Sang Kim
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
human activity recognition
transitional activities
deep learning
accelerometer sensor
attention layer
semantic segmentation
Online Access:https://www.mdpi.com/1424-8220/23/4/2278

Internet

https://www.mdpi.com/1424-8220/23/4/2278

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