Iman Bagheri - Department of Biomedical Engineering, Imam Reza International University, Mashhad, Iran
Ali Ahmadi - Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Maryam Mahjoub Khorasani - Department of Psychology, University of Bojnord, Bojnord, Iran
Behnam Haddadian - Department of Computer Science, St. Mary's University, San Antonio, USA
Mahdi Bayat - Department of Physical Activity and Health Promotion, University of Rome Tor Vergata, Rome, Italy
Anahita Seberimoghadam - Department of Architectural Engineering, Toos Institute of Higher Education, Mashhad, Iran

Applications of IMUs have always been the main focus and concentration through rehabilitation, cognitive, psychological, and therapeutically behavioral related fields as well as physiological aspects and architecturally related issues. In this research study, the recent approaches involving IMU-based embedded devices have been investigated while illustrating the distribution of the main focus of the recent academically published papers over time. Finally, our novel IMU-based system design is introduced while featuring machine learning algorithms and providing a reliable and validated solution for applications where IMUs can be taken into account.

: IMU Sensors, Biomedical Applications, Rehabilitation, Sports, Real-Time Monitoring, Cognitive and Behavioral Therapy