Smart Wearable Device for Elderly Dementia People
Surendran D1, Kiruthika V R2
1Surendran D *, Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
2Kiruthika V.R, Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Manuscript received on March 05, 2020. | Revised Manuscript received on March 16, 2020. | Manuscript published on April 30, 2020. | PP: 430-433 | Volume-9 Issue-4, April 2020. | Retrieval Number: C6338029320/2020©BEIESP | DOI: 10.35940/ijeat.C6338.049420
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Abstract: Millions of individuals worldwide are infected by a serious disorder known as Dementia with collection of symptoms which will embody blackout and feel inconvenient to think, solve problems. Dementia is controllable if the person is within the drafting board of not wellness, so as to help such dementia affected people, the target is to style sensible smart wearable device that motivates and enthusiast their life easier. The good device practises on 3 operations. At first the routine activities are monitored by the sensors and trained using a machine learning algorithms which are fed to a smart device based on the data, it guides the person with physical activities. Then an indoor tracking of a person is carried out by beacon signals through which if person forgets to do next activity, smart device guides them by learning the patterns of a person about their movements in indoor. At last an outdoor tracking of a person is carried out using GPS signals enabled in a smart device which helps the person to find their way to home even when they missed the way or suffers from memory loss. If any different texture or feedback is not received from the patient to any of the above mentioned activities the smart device alerts the caretaker in the form of message through app. Thus, this smart device reduces the burden of the caretaker
Keywords: Dementia, GPS, Beacon Signals, Machine Learning, Sensors, Problem Solving.