Discussion Panel on Computer Vision and Occupational Ergonomics

Abstract

Computer vision has already impacted a diverse field of applications, ranging from industrial robotics, intelligent and autonomous vehicles, security surveillance, manufacturing inspection, and human-computer interaction. Furthermore, digital imaging technologies are advancing ever smaller in size, finer in granularity, and faster in processing, while becoming less expensive and thus more accessible to businesses, organizations, and individuals in devices such as smart phones and tablets. Consumer products such as the Kinect™ offer advanced marker-less 3D motion capture capabilities at a low cost. New computer vision methods are now being researched and developed for occupational ergonomics applications. It is anticipated that these new tools will profoundly impact the future of occupational ergonomics and provide a variety of new instruments and techniques for design, analysis and evaluation in the practice of ergonomics. A panel of leading experts will describe some of the cutting edge research they are pursuing utilizing computer vision for occupational ergonomics applications. Radwin, Lee and Li use algorithms that track pixel patterns recorded from conventional video for quantifying repetitive hand motion, manual lifting and whole-body activities. Lee and Li describe the use computer vision tools to predict joint angles for a whole-body link model. Lieblich and Park describe the use of Kinect™ for classifying postures and generating individualized task specific avatars. Each of these approaches has specific advantages and limitations, which will be addressed by the panel. A discussion will follow exploring future research needs as well as engaging in a discussion among panelists and attendees about the needs, limitations, and obstacles that this new technology faces in bringing it into practice.