This project is under the umbrella of our ongoing-project: smart insole. You can refer to the previously built Smart Insole: http://www.cse.buffalo.edu/~wenyaoxu/papers/conference/xu-petra2012a.pdf
We will extend this existing work for three new applications:
1.1. Human Computer Interface:
1.1.1. The project is aim at building a human computer interface system using the Smart Insole. The Smart Insole is a device which can provide useful information including plantar pressure, acceleration, angular velocity, and magnetic field direction. Different actions and movements performed by a person wearing Smart Insole will serve as the commands to a computer (machine).
1.1.2. Skill requirements: strong problem solving ability, rich hands-on project experience, and familiar with inertial sensor is a plus.
1.2. Ambulatory tracking
1.2.1. The project is aiming at developing a valid ambulatory tacking algorithm using Smart Insole. With a bunch of sensor information from Smart Insole, including plantar pressure, acceleration, angular velocity, and magnetic field direction, we should be able to provide the moving trajectory by calculating moving direction and distance. The algorithm will be evaluated by both ground walking and stair walking.
1.2.2. Skill requirements: strong problem solving ability, good on math, and familiar with inertial sensor or DCM algorithm is a plus.
1.3. Timed up and go system
1.3.1. The project is aim at enhancing the Smart Insole to make it appropriate for the timed up and go test. Timed up and go test is a simple test used to assess a person's mobility and requires both static and dynamic balance. We will extract an amount of gait information without human intervention such as time stamp for activity, average speed, and walking balance.
1.3.2. Skill requirements: strong problem solving ability, good on math, and familiar with inertial sensor is a plus.
Student Skill-Set Needed: highly motivated in research projects; programming skills (java/c/c#/python/matlab)
Compensation: Academic Credit, Volunteer
Available: Fall, Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Wenyao Xu
Title: Select a Title
Department: Computer Science And Engineering