The goal of this project was to develop an intelligent wearable sensor-based yoga training system that can help visually impaired users learn yoga independently. The system will track user motion in real-time and provide immediate, non-visual feedback for pose correction and guidance.
Sponsor: Faculty Seed Grant, University of Arizona
This research explored several emerging issues and opportunities afforded by body-worn inertial sensing technology for quantifying biomechanical exposures and low back disorder risk particularly in relation to nonrepetitive Manual Material Handling (MMH) jobs.
Sponsor: University of Michigan, Rackham Graduate Student Research Grant
PROVIDING REAL-TIME FEEDBACK ON ERGONOMIC RISK FACTORS USING WEARABLE SENSORS IN CONSTRUCTION WORK
Sponsor: Mountain & Plains Education and Research Center (MAP ERC) Pilot Project Awards; sub-award from NIOSH
Principal Investigator: Dr. Sol Lim
Student: Xiang Yang
Dates: Jul 2020 - Jun 2021
OBSTACLE CLEARANCE TASK PERFORMANCE IN INDIVIDUALS WITH HIGH BODY MASS INDEX
The objective of this study was to quantify performance in an obstacle clearance task among individuals with excess body weight or body mass index (BMI).