Unobtrusive Tremor Detection and Measurement via Human-Machine Interaction

Abstract Elderly people possess enhanced working experience during their living. Therefore it is a big value loss for companies, when such individuals get into retirement. Through the development of a novel workspace, which allows elderly people to maintain work- active in a decentralized manner, e.g. from home, this limitation, caused by the demographic change, can be overcome. Additionally most people in advancing age usually suffer from different diseases. By using recent computer-user interfaces like motion sensors devices or smart glasses, it is possible to measure physiological readings unobtrusively while gesture or intuitively controlling a personal computer or system. The authors propose the implementation of a tremor detection system embedded in this decentralized workspace, using the Leap Motion controller as well as the Vuzix Smart Glasses M100.

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