Virtual Reality Game Based Interaction with Exergaming using Wearable Sensors
Mir Mushhood Afsar, Shizza Saqib · 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST) · 2022
Now-a-days, children are more indulged in indoor activities instead of outdoor games. This plays a very negative role on their minds along with physical laziness and obesity. The proposed system that solves this issue uses virtual reality gaming interface and activity recognition system for the users to play outdoor games in their rooms. People can wear the headsets along with wearables and can enjoy 3D games while exercising. The system uses sensors (MPU6050) connected with nRF24L01 modules and Arduino responsible for sending the sensor data to the game. Moreover, the data by sensor is processed using a machine learning model, which predicts the game played by the user. The proposed system aims at recognizing six basic games in the IMSporting behaviors dataset, which utilizes triaxial accelerometers connected to the subject’s knee, wrist, and below neck areas to capture human activities i.e., badminton, basketball, table tennis, skipping, cycling and football. WISDM dataset is used to recognize activities such as jogging and walking. The system has achieved an accuracy of 92% by using median filter as a pre-processing technique, Fourier transform features extraction and artificial neural networks classifier. The system can be applied to many fields like education, offices, construction and sports. Extensive experimentation proved the validity of the proposed system.