Kinect gaming technology can monitor health of seniors says MU research

Sept. 16, 2011
Columbia, MO--UM and TigerPlace researchers found that Microsoft Kinect gaming technology can detect the onset of illness and fall risk in senior citizens.

Columbia, MO--Researchers at the University of Missouri (MU) and independent living community TigerPlace have found that gaming and surveillance technology can detect health issues in senior citizens. Marjorie Skubic, professor of electrical and computer engineering in the MU College of Engineering, is working with doctoral student Erik Stone to use Microsoft Kinect, the gesture recognition and motion-sensing camera system generally used as a video gaming device, to monitor behavior and routine changes in patients at TigerPlace. These changes can indicate increased risk for falls or early symptoms of illnesses.

"The Kinect uses infrared light to create a depth image that produces data in the form of a silhouette, instead of a video or photograph," said Stone. "This alleviates many seniors’ concerns about privacy when traditional web camera-based monitoring systems are used." Stone’s study, "Evaluation of an Inexpensive Depth Camera for Passive In-Home Fall Risk Assessment," won the best paper award at the Pervasive Health Conference, in Dublin, Ireland in May. The gesture recognition market may turn into an even more lucrative business if applications expand beyond gaming.

Another doctoral student, Liang Liu, is collaborating with Mihail Popescu, assistant professor in the College of Engineering and the Department of Health Management and Informatics in the MU School of Medicine, to develop a fall detection system that uses Doppler radar to recognize changes in walking, bending and other movements that may indicate a heightened risk for falls. Different human body parts create unique images, or signatures on Doppler radar. Since falls combine a series of body part motions, the radar system can recognize a fall based on its distinct signature.

SOURCE: University of Missouri; http://munews.missouri.edu/news-releases/2011/0906-mu-researchers-use-new-video-gaming-technology-to-detect-illness-prevent-falls-in-older-adults/

About the Author

Gail Overton | Senior Editor (2004-2020)

Gail has more than 30 years of engineering, marketing, product management, and editorial experience in the photonics and optical communications industry. Before joining the staff at Laser Focus World in 2004, she held many product management and product marketing roles in the fiber-optics industry, most notably at Hughes (El Segundo, CA), GTE Labs (Waltham, MA), Corning (Corning, NY), Photon Kinetics (Beaverton, OR), and Newport Corporation (Irvine, CA). During her marketing career, Gail published articles in WDM Solutions and Sensors magazine and traveled internationally to conduct product and sales training. Gail received her BS degree in physics, with an emphasis in optics, from San Diego State University in San Diego, CA in May 1986.

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