Undergraduate Research
Stanford Assistive Robotics and Manipulation Laboratory (ARMLab)
Trajectory and Sway Prediction for Fall Prevention
Research Goals:
- “Develop a wearable sensor that can predict a person’s path and their stability over the expected path, alerting them if there is a significant possibility they may fall or become unstable” (Project Overview)
- Led by Monroe Kennedy III (PI) and Ken Wang (PhD researcher) in the ARMLab
My Role:
- Selected to participate in the Department of Mechanical Engineering 2023 Stanford Undergraduate Research Institute (SURI) as 1/30 undegraduate students for a 10 week research internship
- Continuing to work in the ARMLab during the school year!
My Work:
- Developed an iOS application in Swift (programming language) that leverages the LiDAR sensor in iPhones to collect environment data and generate a depth panorama
- Application demo (below) shows the generation of the depth panorama in real time as a person walks down a hallway. The FPS on the screen needs to be multiplied by the number of GPUs (6 for the iPhone 12 Pro that the testing was conducted on)
- The depth panorama is used as input to a VAE/LSTM trajectory and sway prediction model, which will eventually be deployed directly on the phone
- Currently working on deploying the PyTorch model in the iPhone and designing an ergonomic/aesthetically pleasing phone harness
Research Presentations:
- SURI Poster Session, August 2023: Presented summer research progress to Stanford mechanical engineering labs and the SURI cohort
- Innovation and Discovery Expo, October 2023: Presented to biosciences, engineering, and medical researchers as part of the ARMLab demonstrational booth. The expo was hosted by Stanford Bio-X and Wu Tsai Human Performance Alliance.