I am part of the Penn State Berks Human Movement Research Center (HMRC).
Virtual Shuffleboard and Air Hockey
Analysis of the performance of repeated, skilled tasks can elicit information about the underlying motor control system. The stability measurement of the control system may correlate with the health of the user. These measurements may be tracked over time to monitor degradation due to a degenerative illness or monitor improvement after an intervention. Within a session, we may be able to detect when learning ends and when fatigue begins to set in.
Shuffleboard Version 1
Shuffleboard Version 2: Video courtesy ZM Savage
The system is being extended to a 2D “Air Hockey Table” implementation. This system will allow for more complex experiments to take place.
Virtual Air Hockey: Video courtesy MA Bianco
Inexpensive & Portable 2D Motion Capture
Tracking of lower-body joint angles during walking shows the range of motion during a gait cycle. Applying markers to limbs and using motion analysis techniques automates the process of identifying the limbs and their angle in a plane (or space). Most mainstream commercially-available systems cost over $100,000 for the camera and software system. For this project, we developed a low cost (<$1000 (without Matlab)) system for 2D motion tracking. This was employed in conjunction with a project to track the range of motion of the ankle and knee when a subject is wearing an Ankle-Foot Orthosis (AFO). The project is being developed to work in real time and extended into 3D motion tracking using multiple cameras.
Brief overview of data collection and analyzation process to determine 2D joint angles
More technical information available from the ASB 2015 conference and a forthcoming paper.
Immersive Virtual Reality System
This project combines the motion tracking and balance board to create an immersive virtual reality environment for one user. Real-time visual information will be relayed via an Oculus Rift. The user will be able to “walk” continuously in a plane.
Images courtesy J. Stover, T. Parkin, Z. Zimmermann, M. Schnupp, S. Tyson
First test of integration of a treadmill and Oculus Rift
Continuous Vital Sign Monitor
Heart disease is the leading cause of death in the United States. Early detection of disease and monitoring of disease progression could prevent or delay many of these deaths. Analysis of the heartbeat rhythm has been shown to be predictive or indicative of certain cardiovascular diseases. The ability to constantly monitor a person’s heartbeat and alert the user and their doctor of a possible problem could lead to earlier disease detection. Simultaneously monitoring other vital signs (e.g. temperature and blood pressure) can provide more information about the state of health of the individual.
Images courtesy D. Lupo
Balance Board for Quiet Stance Testing
Tracking and analyzing the center of pressure (COP) of a subject can indicate and track neurodegenerative disorders. Precision balance boards can cost over $10,000. These often measure 6 degrees of freedom, but for COP tracking, 1DOF is enough. This project designed, calibrated and validated a 1DOF balance board for under $500 (without Matlab). More technical information available from the ASB 2016 conference and a forthcoming validation paper.
Images courtesy T. Wilkinson
In this project, we attached sensors to a bicycle to track its position, speed and torque in real time. This information can be used to control and electronic assist motor and log the activity of the user.
Images courtesy D. Stufflet
Feature in Penn State Research Magazine
Write-up on table-sizing methodology