What: I developed real-time software-based methods of controlling wearable robotic devices (exoskeletons) to enhance balance ability in older adults. The exoskeletons output assistive torque based on the user's biomechanical state. Designed and conducted human subject pilot experiments using biomechanics tools (EMG, Respirometry, Motion Capture, Force plates), custom sensor signal processing and visualization scripts, and simulation platforms (OpenSim) to study human response to exoskeletons.
Skills: Real-time control, Signal processing and analysis (esp. related to health sensing, mobile devices, and wearables), Human Subjects experimental design and data analysis, Biomechanics, Mechatronics
Lessons: It is better to move than to wait until you have the perfect answer. In research, you seldom know the best approach. You have to become comfortable making decisions under uncertainty.
Awards: National Science Foundation Graduate Research Fellow, Stanford Graduate Fellow (Medtronic Foundations Fellow)
Skills: Real-time control, Signal processing and analysis (esp. related to health sensing, mobile devices, and wearables), Human Subjects experimental design and data analysis, Biomechanics, Mechatronics
Lessons: It is better to move than to wait until you have the perfect answer. In research, you seldom know the best approach. You have to become comfortable making decisions under uncertainty.
Awards: National Science Foundation Graduate Research Fellow, Stanford Graduate Fellow (Medtronic Foundations Fellow)
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