I am a Research Assistant in the Man-Machine Systems Lab and I attempt to determine the immersiveness of visual displays and effectiveness of Man-Machine Interaction in Virtual Reality systems using Data Analytics.
• Develop and calibrate the eye-tracking sensor that tracks eye movements of the subjects in real-time when they drive the simulator
• Use computer vision (OpenCV Library) to track head movement of subjects in real-time
• Analyze the data (control behavior of human subjects) that is generated by the sensors
• Build predictive models using regression analysis (ARX Algorithm)
Based on the control behavior of human subjects in the simulator, a predictive model is developed using the ARX (Auto Regression with Exogenous Input) algorithm. The vehicle dynamics are modeled as a hardware-in-the-loop (HIL) simulation and the overall system is modeled as a human-in-the-loop (HITL) feedback control loop.
My research required me to develop skills beyond control systems like instrumentation, embedded systems, data acquisition, signal processing, and data analytics to build the sensors, acquiring and ‘cleaning’ the data from the data acquisition system (DAQ). I use data analytics to identify and remove the trends in data, and build predictive models using regression analysis. I use R Programming Language, MATLAB, LabVIEW, and C/C++ extensively in my research.
I am the principal author of a conference paper that reported my research on the design of VR systems and was presented in AIAA Modeling and Simulation Technologies conference in June 2016. I also co-authored a conference paper that was presented in Dayton, Ohio in July 2015.