2017-2018 Senior Project - Gait4Dogs

Project TitleThe current rehabilitation process for dogs recovering from leg injures involves walking the dog over a force plate to monitor their recovery. These force plates are difficult to obtain and are not truly representative of natural movement. Additionally, they are extremely expensive, with a single unit costing as much as $20,000.

The Gait4Dogs iPad application provides an inexpensive, easy to use alternative to a force plate. Using accelerometers and a Bluetooth connection, the application captures and analyzes the motion of a dog's legs, and displays it to the user in a simple but effective interface. Several different analysis methods are used to provide veterinarians with multiple ways to observe a dog’s recovery.

Team Members

Edward Aryee

eaa55@drexel.edu

Kyle Fishler

kjf54@drexel.edu

Hollis Liu

hl486@drexel.edu

Hayden McPhee

hfm24@drexel.edu

 

Phillip Minsker

pdm64@drexel.edu

Screenshots

Jeff Salvage

Data Collection


Image showing the app collecting real-time accelerometer data.

Jeff Salvage

Analysis


Basic data analysis (to be improved).

Behind the Scenes

Jeff Salvage

Faculty Advisor
Professor Jeff Salvage

jks29@drexel.edu

cs.drexel.edu/~jsalvage

Jeff Salvage

External Stakeholder
Dr. Russell Howe-Smith

howesmith@me.com