Journal of Information Technology & Software Engineering
Open Access
ISSN: 2165- 7866
+44 1300 500008
ISSN: 2165- 7866
+44 1300 500008
Mohamed Abdur Rahman
Scientific Tracks Abstracts: J Inform Tech Soft Engg
Due to the low cost and high availability of wearable health sensors and motion tracking devices, home based therapy
monitoring has come to a reality. In this paper, we propose a gesture controlled e-therapy online framework that can
monitor physical and occupational therapy exercises using multimedia data produced by different sensors such as Kinect2,
Leap, and Myo. The multimedia therapeutic data is then stored in a big data repository with proper annotation. We have
developed analytics to mine therapeutic information from the big data platform such as finding the most appropriate therapy
regime for a patient based on her age, ethnicity, gender, disability level and geo-spatial location. We will show different key
queries that can be answered by our developed analytics.
Mohamed Abdur Rahman is a Professor in the Department of Computer Science of Umm Al-Qura University, Makkah Al Mukarramah, KSA. He received his PhD
degree in Electrical and Computer Engineering from the University of Ottawa, Canada. His research interests include serious games, spatio-temporal databases,
multimedia for e-Learning, multimedia for healthcare, ambient assisted living, and context-aware multimedia systems. He has authored and co-authored more than
75 publications including refereed IEEE/ACM/Springer journals, conference papers, and book chapters. He is a member of IEEE and ACM.