Gait Analysis to Predict Falls in Elderly Using a Smartphone Camera
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
Multiple measurements - stride length, stride time, velocity, and cadence Low cost, easy to use, and unobtrusive
Medical/HealthSenior healthcareFall prediction/prevention
Babak ZiaieZiaie Biomedical Microdevices LaboratoryPurdue Electrical and Computer Engineering
United States
None
美国
