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

Authors and Affiliations

Keywords

Related Articles

Do guests prefer Tech Savvy Rooms? A perspective from hotel guests

More than ever before, technology today is having a substantial impact on business spheres, and the hotel industry is o exception. It has turned out to be a critical element with regards to guest satisfaction. The purpos...

Design and Analysis of an Exoskeleton Arm

In this study, the exoskeleton arm has been analyzed to obtain the maximum sustainable load which is to be lifted by the arm hook. This preliminary analysis is required to design the capacity of another power source that...

Skill Development in Educational Institutions

According to Durant Education is a progressive discovery of our ignorance. Education is about to what extent an institute can increase the salability quotient of students. Greater salability results in better job prospec...

Biosorption studies of lead II from aqueous solution by immobilized Sugarcane bagasse Saccharum officinarum L. onto alginate Polvinyl glutaraldehyde

The effectiveness of low-cost biosorbent immobilized Sugarcane bagasse Saccharum officinarum L. onto alginate Polvinyl glutaraldehyde, was studied for Lead II biosorption from aqueous solutions in a batch system. The FTI...

Study of Noise Mapping at Moolchand Road Phargang New Delhi

India’s cities are growing rapidly, resulting in wide variety of environmental stresses. Delhi’s current population is 18 million is growing rapidly. The results show that Delhi is developing very rapidly. The study show...

Download PDF file
  • EP ID EP595170
  • DOI 10.31142/ijtsrd23656
  • Views 64
  • 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