Evaluation of Elderly Fall Detection Systems using Data Analysis

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Ramakrishna Reddy, Dharmendra Kumar Roy, P. L. Srinivasa Murthy, Abhisek Sethy, Madhu Renamala

Abstract

As the global population continues to age, it is more important to ensure the safety and wellbeing of senior citizens. Falls are a frequent and dangerous concern for elders, frequently resulting in fatalities or very serious injuries. Modern technology, such as the Elderly Fall Detection System, have been created to solve this issue. This technology attempts to detect falls quickly and react to them, offering aid right away and maybe saving lives. These studies identify a fall when the tri-axial accelerometer reading from a wearable device exceeds the predetermined threshold. Less complexity and computational expense compared to other approaches is one of the main benefits of adopting threshold-based methods. Finding the right threshold value, however, to accurately identify all falls without confounding them with certain ADL, has proven to be a challenging issue. Early Intervention and Medical Aid: Being independent and able to live in one's own house are two things that many elderly people enjoy. Support for carers and peace of mind: detection systems not only aid the elderly but also provide their carers peace of mind. Cost-cutting: Falls among the elderly frequently lead to hospital stays, rehab, and higher healthcare expenses. The Weighted Product Model (WPM) is a technique for ranking and evaluating alternatives based on a variety of factors. It is an easy and obvious method that enables decision-makers to weigh the relative weight of many variables and make wise decisions. Smart surveillance system, Smart cane, Smart Carpet, Smart phone/watch and app. Unobtrusiveness, reliability, privacy, Cost. As the global population continues to age, it is more important to ensure the safety and wellbeing of senior citizens. Falls are a frequent and dangerous concern for elders, frequently resulting in fatalities or very serious injuries The Weighted Product Model (WPM) is a technique for ranking and evaluating alternatives based on a variety of factors Unobtrusiveness, reliability, privacy, Cost, smart phone is the highest and smart carpet is the lowest

Article Details

How to Cite
Ramakrishna Reddy, et al. (2023). Evaluation of Elderly Fall Detection Systems using Data Analysis. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 1771–1778. https://doi.org/10.17762/ijritcc.v11i10.8753
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Articles
Author Biography

Ramakrishna Reddy, Dharmendra Kumar Roy, P. L. Srinivasa Murthy, Abhisek Sethy, Madhu Renamala

Ramakrishna Reddy1, Dharmendra Kumar Roy2, P. L. Srinivasa Murthy3, Dr. Abhisek Sethy4, Madhu Renamala5

1Associate professor &Research Scholar Bhagwat University Ajmer, Rajasthan

Department of CSE-Data ScienceKG Reddy college of Engineering Engineering and Technology

Telangana - 501504 Mail :krkreddy20@gmail.com

2Associate Professor

Dept. Of Computer Science and Engineering

Hyderabad Institute of Technology and Management

roy.dharmendra@gmail.com

3Professor, Department of Computer science and Engineering, IARE

Mail :plsrinivasamurthy@iare.ac.in

4Assistant Professor Department of Computer Science & Engineering 

Silicon Institute of Technology, Bhubaneswar, Odisha- 751024. Mail: abhisek.sethy@silicon.ac.in,abhisek052@gmail.com

5Department of CSE MLR Institute of Technology ,Dundigal,Hyderabad.

Mail :msrao.renamala@gmail.com