A Review of Physical Human Activity Recognition Chain Using Sensors

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,)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 8, No 3: September 2020

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.