Deep Ontology-Based Human Locomotor Activity Recognition System via Multisensory Devices

Deep Ontology-Based Human Locomotor Activity Recognition System via Multisensory Devices

Recognition of human locomotor activities is crucial for monitoring the motion patterns. Current studies for human locomotor activities recognition focused on detecting basic motion patterns. In this study, we proposed a four-modules-based human locomotor recognition model via deep learning, which w...

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Bibliographic Details
Main Authors: Madiha Javeed, Naif Al Mudawi, Abdulwahab Alazeb, Saud S. Alotaibi, Nouf Abdullah Almujally, Ahmad Jalal
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Activity recognition
classification
deep learning
locomotion prediction
multisensory devices
patient monitoring
Online Access:https://ieeexplore.ieee.org/document/10258163/

Internet

https://ieeexplore.ieee.org/document/10258163/

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