A Review of Physical Human Activity Recognition Chain Using Sensors

Authors

Omar AlShorman
Electrical Engineering Department, Faculty of Engineering, and Project Manager, AlShrouk Trading Company Najran University, Najran, Saudi Arabia
Buthaynah Alshorman
South Alternative Center for Physiotherapy and Rehabilitation, Najran, Saudi Arabia
Mahmoud S Masadeh
Computer Engineering Department, Yarmouk University, Irbid 21163, Jordan,
DOI: https://doi.org/10.52549/ijeei.v8i3.2312
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Published: 30-09-2020 • Issue: Vol. 8 No. 3: September 2020 • Section: Computer_&_Informatics

Abstract

In the era of Internet of Medical Things (IoMT), healthcare monitoring has gained a vital role nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing the chronic diseases are urgently required. However, tracking and monitoring critical cases/conditions of elderly and patients is a great challenge. Healthcare services for those people are crucial in order to achieve high safety consideration. Physical human activity recognition using wearable devices is used to monitor and recognize human activities for elderly and patient. The main aim of this review study is to highlight the human activity recognition chain, which includes, sensing technologies, preprocessing and segmentation, feature extractions methods, and classification techniques. Challenges and future trends are also highlighted.

 

Keywords: Healthcare Monitoring; Human Activity Recognition; Internet of Medical Things; Machine Learning; Sensors

Author Biographies

Omar AlShorman

Electrical Engineering Department and AlShrouk Trading Company, Faculty of Engineering, Najran University, Najran, Saudi Arabia

How to Cite

[1]
O. AlShorman, B. Alshorman, and M. S. Masadeh, “A Review of Physical Human Activity Recognition Chain Using Sensors”, IJEEI, vol. 8, no. 3, pp. 560–573, Sep. 2020, doi: 10.52549/ijeei.v8i3.2312.