UROP Proceedings 2022-23

Academy of Interdisciplinary Studies Division of Integrative Systems and Design 211 Gait Analysis for Control and Optimization of Exoskeletons Supervisor: LEUNG, Suk Wai Winnie / ISD Student: RA, Hoonjoo / CPEG Course: UROP1100, Fall In order to provide collective data on dementia patients to medical professionals, several sensors including body tracking sensors were considered. Azure Kinect was selected to provide physical movement data for medical professionals to analyze any symptoms or progression of dementia. With the use of a small, costeffective, and ease implementable Azure Kinect body tracking sensor, data collection of a single person’s core, limbs, and head joints was successful with a reliable confidence level at a sampling rate of 5.88 samples per second. The data collected by this system can then be analyzed by a body movement algorithm to detect certain movements in the future. Synthetic Tactile Sensing for Prosthetic Fingers Supervisor: LEUNG, Suk Wai Winnie / ISD Student: NGAI, Mark Alexander / BIEN Course: UROP1100, Fall Recent development of prosthetics is mainly directed towards wealthier patients who can afford new technologies, leaving patients in less-developed countries without a viable and affordable solution. This project aims to develop a low-cost and personalized alternative to an existing hand prosthetic developed by Prof. Winnie Leung’s lab. An application was developed to measure the finger widths to estimate the size of the prosthetic, and another application was developed to create CAD files for 3D printing. Lastly, a simple assembly of 13 ring-like 3D-printed components along with a wrist guard and fishing line offers an alternative solution costing under US$1 for patients in less-developed regions to benefit from. Underwater Robot for Biodiversity Study Supervisor: YEUNG, Sai Kit / ISD Student: NGUYEN, Khac Hai Long / DSCT Course: UROP1000, Summer During the summer of 2023, I have taken the UROP1000 course, joining a team of postgraduate students carrying out a research project named “Underwater robot for biodiversity study”. At the current stage, we primarily are working on the camera, a 360-degree underwater camera system, which aims to produce highresolution, low-distortion images and videos for underwater applications. Apart from that, I have also equipped myself with knowledge and skills in the Computer Vision field to catch up in technical capability with the rest of the team. For my part, my experience in the program can be divided into 3 parts: assisting, learning, and reflection on my success and failures throughout the program.

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