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Title: :  Real-time fall detection and emergency alert system for elderly individuals
PaperId: :  25685
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 1 2025
DUI:    16.0415/IJARIIE-25685
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Siddharth Subhash JadhavDr. Vithalrao Vikhe Patil College of Engineering
Shreyas Dipak TungarDr. Vithalrao Vikhe Patil College of Engineering
Kotkar Omkar Thaksen Dr. Vithalrao Vikhe Patil College of Engineering
Manish Balkrishan Syal Dr. Vithalrao Vikhe Patil College of Engineering

Abstract

Computer Engineering
Fall Detection, Emergency Alert System, Elderly Care, Real-Time Monitoring, Health Safety, Machine Learning, Computer Vision, Deep Learning, Internet of Things (IoT)
Falls among the elderly pose a major health concern, often leading to loss of independence, fear of falling, and significant hospitalization costs. Over the past two decades, medical institutions and researchers have conducted extensive studies on falls, resulting in the development of various scientific solutions and commercial products. Traditional fall detection systems utilize different sensing methods to identify falls after they occur. However, recent research has shifted towards fall prevention, focusing on predicting falls before they happen. Despite advancements, early fall prediction systems are still primarily limited to clinical investigations, and existing studies lack a standardized classification framework. This study aims to bridge this gap by providing a comprehensive overview of falls in the elderly and proposing a generic classification of fall-related systems based on sensor deployment. Using this classification, an in-depth study covering both fall detection and prevention methods has been carried out, including various data processing techniques. The primary objective of this research is to improve the understanding of fall-related systems among medical technologists in public health, thereby aiding in the development of more effective fall-prevention strategies. By integrating advanced sensing technologies and data analysis techniques, this study seeks to enhance the accuracy and reliability of fall detection and prevention methods, ultimately reducing the impact of falls on the elderly population.

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IJARIIE Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . "Real-time fall detection and emergency alert system for elderly individuals" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 1 2025 Page 603-609
MLA Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . "Real-time fall detection and emergency alert system for elderly individuals." International Journal Of Advance Research And Innovative Ideas In Education 11.1(2025) : 603-609.
APA Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , & Manish Balkrishan Syal . (2025). Real-time fall detection and emergency alert system for elderly individuals. International Journal Of Advance Research And Innovative Ideas In Education, 11(1), 603-609.
Chicago Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . "Real-time fall detection and emergency alert system for elderly individuals." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 1 (2025) : 603-609.
Oxford Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . 'Real-time fall detection and emergency alert system for elderly individuals', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, 2025, p. 603-609. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Real_time_fall_detection_and_emergency_alert_system_for_elderly_individuals_ijariie25685.pdf (Accessed : ).
Harvard Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . (2025) 'Real-time fall detection and emergency alert system for elderly individuals', International Journal Of Advance Research And Innovative Ideas In Education, 11(1), pp. 603-609IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Real_time_fall_detection_and_emergency_alert_system_for_elderly_individuals_ijariie25685.pdf (Accessed : )
IEEE Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal , "Real-time fall detection and emergency alert system for elderly individuals," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, pp. 603-609, Jan-Feb 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Real_time_fall_detection_and_emergency_alert_system_for_elderly_individuals_ijariie25685.pdf [Accessed : ].
Turabian Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . "Real-time fall detection and emergency alert system for elderly individuals." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 1 ().
Vancouver Siddharth Subhash Jadhav, Shreyas Dipak Tungar, Kotkar Omkar Thaksen , and Manish Balkrishan Syal . Real-time fall detection and emergency alert system for elderly individuals. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(1) : 603-609. Available from: http://ijariie.com/AdminUploadPdf/Real_time_fall_detection_and_emergency_alert_system_for_elderly_individuals_ijariie25685.pdf
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