Title :
A Multimedia Big Data E-Therapy Framework
Author :
Qamar, Ahmad M. ; Hussain, Syed Osama ; Sadiq, Bilal ; Khan, Ahmed R. ; Rahman, Md Abdur ; Basalamah, Saleh
Author_Institution :
Sch. of Comput. Sci., Univ. Sains Malaysia (USM), Penang, Malaysia
Abstract :
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 key queries that can be answered by our developed analytics.
Keywords :
Big Data; data analysis; data mining; medical information systems; multimedia computing; patient treatment; pattern classification; annotation; big data repository; gesture controlled e-therapy online framework; multimedia Big Data e-therapy framework; occupational therapy exercises monitoring; physical therapy exercises monitoring; therapeutic information analytics; therapeutic information mining; Big data; Medical treatment; Monitoring; Multimedia communication; Sensors; Streaming media; motion sensors; occupational therapy; physical therapy; video annotation;
Conference_Titel :
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-8687-3
DOI :
10.1109/BigMM.2015.61
