Deep ConvLSTM Network with Dataset Resampling for Upper Body Activity Recognition Using Minimal Number of IMU Sensors

Deep ConvLSTM Network with Dataset Resampling for Upper Body Activity Recognition Using Minimal Number of IMU Sensors

Human activity recognition (HAR) is the study of the identification of specific human movement and action based on images, accelerometer data and inertia measurement unit (IMU) sensors. In the sensor based HAR application, most of the researchers used many IMU sensors to get an accurate HAR classifi...

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Bibliographic Details
Main Authors: Xiang Yang Lim, Kok Beng Gan, Noor Azah Abd Aziz
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
imbalanced dataset
human activity recognition (HAR)
inertia measurement unit (IMU)
deep learning
hybrid neural network
Online Access:https://www.mdpi.com/2076-3417/11/8/3543

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https://www.mdpi.com/2076-3417/11/8/3543

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