Human Factors & Ergonomics
Degree program: Ph.D.
Expected graduation: 2024
Area of interest: Wearable technology; WMSD prevention; Physical demand prediction
Projects: 1. Using IMU sensors, pressure insoles and deep learning model to predict occupational physical activities and lifting weights.
2. Using EMG sensors and IMU sensors to measure muscle activities when people gaming with different mice.
Desired Employment: Industry, Academia