Automatic Detection of Pronation Type of Runners Using Computer Vision

NewsBot · Sep 13, 2019

Members do not see these Ads. Sign Up.
Automatic Detection of Pronation Type of Runners Using Computer Vision
Pečar, Anže et al
Source

Running is a popular form of
recreation. Running clubs and shops commonly
provide services related to video analysis of
runners. The most common service is to determine
the pronation type of a runner. This is done by
manually measuring the eversion angle of an ankle
from a backside video of a runner on a treadmill.
Therefore, there exists a need to develop
applications for automatic gait analysis of runners.
We have developed methods for automatic
measurement of eversion angle of an ankle for
subjects running on a treadmill. They measure the
angle and pronation type based on human body
skeleton model segmented with computer vision
techniques. Tested on a group of 15 runners, these
methods produced reasonably accurate results
and demonstrated the potential for wider use in
commercial and sport research applications.
Nevertheless, since the accuracy can be further
improved, we also provide some guidelines
Click to expand...

NewsBot The Admin that posts the news.

ayuda autoclave hydra 100 automatic

Ultrasound in the detection of foot and ankle fractures

Detection of Pronation and Supination with Smart Socks

Detection of alcohol induced gait changes

Selecting a prospective test for early detection of diabetic polyneuropathy

Graphic Representation of Clinical Symptoms: A Tool for Improving Detection of Subtle Fractures on F

Detection of foot and ankle implants by metal detectors

Share This Page