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Creators/Authors contains: "Sharma, Akshay"

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  1. ; ; (, IEEE Robotics and Automation Letters)
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  2. ; ; ; ; (, IEEE International Conference on Robotics and Automation (ICRA))
    null (Ed.)
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  3. ; ; ; (, Proceedings of the 2nd IFIP International Internet of Things (IoT) Conference (IFIP-IoT))
    It is imperative to find the most accurate way to detect falls in elders to help mitigate the disastrous effects of such unfortunate injuries. In order to mitigate fall related accidents, we propose the Good-Eye System, an Internet of Things (IoT) enabled Edge Level Device which works when there is an orientation change detected by camera, and monitors physiological signal parameters. If the observed change is greater than the set threshold, the user is notified with information regarding a prediction of fall or a detection of fall, using LED lights. The Good-Eye System has a remote wall attached camera to monitor continuously the subject as long as the person is in a room along with a camera attached to a wearable to increase the accuracy of the model. The observed accuracy of the Good-Eye System as a whole is approximately 95%. 
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