Overview
Dr. Steve Marshall of the UNC School of Public Health was looking for a way to gain better insight into ACL (anterior cruciate ligament) knee injuries, wh
ich affect many active people, including athletes and military personnel. This collaboration with RENCI visualization staff and resources allowed Marshall to combine his understanding of ACL knee injuries with the latest hardware and techniques in visualization of 3-dimensional scientific data.
This visualization project used the high-resolution RENCI visualization wall at the UNC Health Sciences Library to show the movement of the knee during jumping. Marshall had used software called MotionMonitor Viewer to capture data about the motion of jumping by hooking up volunteers from military bases to sensors. The data had previously been visualized as graphs.
Using the RENCI visualization wall, Marshall was able to view his data as pictures of the jumping motion and to simultaneously observe the jumping motion and multiple graphs measuring various force parameters during the jumping motion.
By looking at both the graphs and the realistic visualization of the jumping motion, Marshall could see relationships between styles of jumping and levels of force and develop a better understanding of how certain motions increase the likelihood of suffering an ACL injury.
Overview
Dr. Steve Marshall of the UNC School of Public Health was looking for a way to gain better insight into ACL (anterior cruciate ligament) knee injuries, which affect many active people, including athletes and military personnel. This collaboration with RENCI visualization staff and resources allowed Marshall to combine his understanding of ACL knee injuries with the latest hardware and techniques in visualization of 3-dimensional scientific data.
This visualization project used the high-resolution RENCI visualization wall at the UNC Health Sciences Library to show the movement of the knee during jumping. Marshall had used software called MotionMonitor Viewer to capture data about the motion of jumping by hooking up volunteers from military bases to sensors. The data had previously been visualized as graphs.
Using the RENCI visualization wall, Marshall was able to view his data as pictures of the jumping motion and to simultaneously observe the jumping motion and multiple graphs measuring various force parameters during the jumping motion.
By looking at both the graphs and the realistic visualization of the jumping motion, Marshall could see relationships between styles of jumping and levels of force and develop a better understanding of how certain motions increase the likelihood of suffering an ACL injury.
Project Team
Hong Yi
Partner
Dr Steve Marshall, UNC School of Public Health
Links
Muscles in Motion
