The department of research and development at VRapeutic is involved in two main areas of research. The first area is the Educational and Behavioral research which addresses the development and the validation of therapeutic software VR modules.
The second area of research is an umbrella that involves several VR-Supporting Technologies which include, but not limited to, real-time computer vision and image analysis, image and video processing and coding (especially for 360-degree content), 3D model compression and manipulation, bio-signal analysis, and internet of things (IoT).
- A.Badawi, A.Al-Kabbany, and H.Shaban, “Daily Activity Recognition Using Wearable Sensors Via Machine Learning and Feature Selection,” The 13th IEEE International Conference on Computer Engineering and Systems, ICCEC 2018. [Bio-signal Analysis]
- M.E.Gendy, A.Al-Kabbany, and E.F.Badran, “Maximizing Clearance Rate of Reputation-aware Auctions in Mobile Crowdsensing,” IEEE Consumer Communications & Networking Conference (CCNC), 2019. [Internet of Things]
- A.Badawi, A.Al-Kabbany, and H.Shaban, “Multimodal Human Activity Recognition From Wearable Inertial Sensors Using Machine Learning,” IEEE EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 2018. [Bio-signal Analysis]
- M.K.Y.Boktor, A.Al-Kabbany, R. Khalil, and S.El-Khamy, “Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks,” arXiv, October 2018. [Computer Vision]
- Effectiveness of Virtual Reality Treadmill Training on Gait, Balance and Muscle Strength in Children with Cerebral Palsy. A pilot study that is supervised by Prof. Tarek ElSayed Ismail Omar, professor of pediatric neurology at the Faculty of Medicine, Alexandria University. Experiments are conducted at New Vision Organization’s therapy center in Alexandria, Egypt. [Ongoing Study, January 2019]