Home >Technology peripherals >AI >Stanford University launches open source motion capture application OpenCap: using mobile phones to quickly collect data at a cost of only 1% of traditional methods
News on October 20, according to the official press release of Stanford University, researchers recently created an open source "motion capture" application called OpenCap.
The application is built on two "calibrated" iPhones. It is mainly used to collect human movement data, and then quickly analyzes and obtains relevant data through AI. It is said that the cost is only " 1% of the $150,000 equipment in a specialty clinic, which is $1,500 (note on this site: currently about 10,995 yuan).
In addition, OpenCap’s data collection process is faster, claiming that it can obtain results in only 10 minutes, which is “faster” than traditional equipment.
▲ Picture source Stanford University
Project author Scott Delp said that OpenCap is expected to "popularize" human movement analysis so that more people can understand it. , Master relevant technologies.
It is reported that OpenCap is used to measure the human body's "knees, hips, shoulders and other joints" in real time, thereby generating relevant 3D human body models, and then obtaining the human body's "joint angles", "joints "Load", "Bone Movement Details" and other medical data.
▲ Picture source Stanford University
Researchers said that relevant analysis data can provide a reference for the treatment of patients with movement problems and help clinicians formulate surgical plans. and review the effectiveness of various treatments. The researchers also claim that OpenCap is free, but they also hope to use the software for commercial applications, so as to provide support for clinicians and at the same time help the team's follow-up research through a series of financial income.The above is the detailed content of Stanford University launches open source motion capture application OpenCap: using mobile phones to quickly collect data at a cost of only 1% of traditional methods. For more information, please follow other related articles on the PHP Chinese website!