Dementia Patient Activity Monitoring and Fall Detection using IoT for Elderly

Abstract

There is drastic increase in population of dementia patients and also elderly since we are growing as modern society. To avoid the need of special care centers for people suffering from such disease usually it is suggested to stay in their own house. The product presented in this paper provides user current localization, Real time image processing, automatic fall detection and activity monitoring and also manage emergency situations. The Product aims to help patients retain their independence, whilst reducing the demand on care givers as well as providing patients freedom of independently walks outside. Prof. Deepali K. Shende | Mr. Sidheshwar Madrewar | Mr. Shivam Bhongade | Mr. Shivam Dugade "Dementia Patient Activity Monitoring and Fall Detection using IoT for Elderly" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23656.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23656/dementia-patient-activity-monitoring-and-fall-detection-using-iot-for-elderly/prof-deepali-k-shende

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  • EP ID EP595170
  • DOI 10.31142/ijtsrd23656
  • Views 98
  • Downloads 0

How To Cite

(2019). Dementia Patient Activity Monitoring and Fall Detection using IoT for Elderly. International Journal of Trend in Scientific Research and Development, 3(4), 363-367. https://europub.co.uk./articles/-A-595170