| 2014-ZIAI-66720 | |
| Falling is a major health issue among older adults (aged 65 and over). According to the CDC, one out of three older adults fall each year, and in 2010, 2.3 million nonfatal fall injuries among older adults were treated in emergency departments. Early identification and prediction of fall risk is likely to help minimize actual falls and the development of secondary problems such as reduced confidence and activity levels. Current methods include accelerometers, gyroscopes, and pressure sensors embedded in shoes; however, these methods are hard to use, not portable, and expensive. In response to the need for a more efficient and effective gait analysis and fall detection system, researchers at Purdue University have developed a novel gait analyzer and fall predictor that can measure stride length, stride time, velocity, and cadence using a camera feature in a smartphone-type device attached to a user. The gait analysis initiates when the user stands and the foot identifiers are recognized by the camera and software. The low cost and high accessibility of the gait analyzer and fall predictor device means that the fall risk can be assessed with an easy to use, unobtrusive solution when compared to existing expensive methods. To view a video related to this technology, click on this link: http://www.youtube.com/watch?v=oLXnTx6Rb6A Advantages: -Multiple measurements - stride length, stride time, velocity, and cadence -Low cost, easy to use, and unobtrusive Potential Applications: -Medical/Health -Senior healthcare -Fall prediction/prevention |
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Dec 12, 2014
Trademark
United States
5,576,100
Oct 2, 2018
Jan 7, 2015
Utility Patent
United States
9,801,568
Oct 31, 2017
Oct 29, 2013
Copyright
United States
TXu-1-892-435
Oct 29, 2013
Oct 31, 2017
DIV-Patent
United States
(None)
(None)
Jan 7, 2014
Provisional-Patent
United States
(None)
(None)
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Purdue Office of Technology Commercialization The Convergence Center 101 Foundry Drive, Suite 2500 West Lafayette, IN 47906 Phone: (765) 588-3475 Fax: (765) 463-3486 Email: otcip@prf.org |
