🏆 Winning Team: SEE 360 – Service Enterprise Engineering Awards

 

This application was designed to measure walking speed accurately and precisely on an iOS device to improve accessibility to this clinically relevant information.

Sponsor

 

Team Members

Yasmin Ali | Thomas England | Nicholas Fink | Benjamin Hommrich | Rishabh Tiwari | Shane Ward | Thomas Williams | | | | |

 

Project Poster

Click on any image to enlarge.


Project Video

video player icon

Project Summary PDF

pdf icon


Project Summary

Overview

Walking speed is important for measuring functional decline, leading to fall risk, and requiring physical rehabilitation. Current methods are outdated or imprecise or require expensive equipment. We developed an app that uses the LiDAR feature of the newest generation of Apple products to markedly improve the precision and accuracy of measuring walking speed.

Objectives

– Utilize the LiDAR sensor in new Apple products to measure walking speed precisely and accurately

– Capture a simultaneous video of the patient walking for a qualitative assessment

– Create a proof-of-concept iOS app designed for easy use by any health-minded user

Approach

– Machine-learning technology locates user joints to track motion

– Shoulder and hip points are used to locate a center of mass point

– LiDAR sensors in Apple technologies tracks distance to the center of mass

– Using distance measurements and time between 2 meters and 6 meters, an average walking speed is calculated

– Simultaneous video recording allows for qualitative gait analysis

– After testing is completed, users can enter areas of the body where they are experiencing pain and comment on how their bodies are feeling

– User interface is designed for easy use by any user

– Users can view past records and observe trends over time

Outcomes

– Accuracy and precision of the LiDAR in the Apple iPhone 12 is comparable to research-compatible LiDAR

– This method offers improved accuracy over conventional methods using a stopwatch

– Using the Apple iPhone 12 provides a potential means to collect a functionally important vital sign that is not often obtained in visits to the doctor

– This app improves the capabilities for remote patient monitoring