Adaptive mobile cloud computing on college physical training education based on virtual reality

Mobile Cloud Computing (MCC) allows the e-learning platform to provide teaching materials, exchange knowledge and share learning experiences. The MCC process gives various instructions, and the usage of electrical bio-signals in Alternative and Augmented Communication plays a significant role. The physical education system faces significant challenges in training physically challenged people for Para Olympics. The difficulties are resolved by applying the Virtual Reality Assisted Convolution Neural Network (VRA-CNN) framework for effective Augmentative Communication. The VRA-CNN process uses several biosensors to read various person's body parameters according to different simulated conditions using Virtual Reality Technology (VR). Further, augmentative Communication provides an interactive environment in real-time for physically challenged people. Simulation analysis shows that the introduced VRA-CNN can improve players' confidence and sports knowledge with improved SNR, response time, and less error rate. The VRA-CNN has been validated based on the optimization parameter, and real-time performance outperforms traditional approaches.