HiHAR: A Hierarchical Hybrid Deep Learning Architecture for Wearable Sensor-Based Human Activity Recognition
Wearable sensor-based human activity recognition (HAR) is the study that deals with sensor data to understand human movement and behavior. In a HAR model, feature extraction is widely considered to be the most essential and challenging part as the sensor signals contain important information in both...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9584858/ |