TY - GEN
T1 - IoT based Fall Detection for Elderly People
AU - Kaushik, Sumanth
AU - Sheetal,
AU - Preethi, null
AU - Sapna,
AU - Sumathi,
AU - Sandra, Rachel
AU - Thajudheen,
N1 - Publisher Copyright:
© 2024 American Institute of Physics Inc.. All rights reserved.
PY - 2024/2/13
Y1 - 2024/2/13
N2 - Falls are the most dangerous form of an injury sometimes even leading to the death of an individual. Due to some negligence it is found that deaths caused are increasing rapidly, a survey was also made by WHO. It is globally considered as a major health public problem. The injury caused by disease for all people depends on the individual age and health factor. As the recent studies report usually highest death rate is caused over the age of 60. Therefore, this paper proposes an IOT based fall discovery system that will help prevent the risk leading to injury or death of an individual. The system monitors the person's movements with the help of an accelerometer sensor and detects a fall. An alarm is activated and a message is sent to the caretaker and a nearest hospital along with the location. The project also consists of an android application which includes a voice output and the location.
AB - Falls are the most dangerous form of an injury sometimes even leading to the death of an individual. Due to some negligence it is found that deaths caused are increasing rapidly, a survey was also made by WHO. It is globally considered as a major health public problem. The injury caused by disease for all people depends on the individual age and health factor. As the recent studies report usually highest death rate is caused over the age of 60. Therefore, this paper proposes an IOT based fall discovery system that will help prevent the risk leading to injury or death of an individual. The system monitors the person's movements with the help of an accelerometer sensor and detects a fall. An alarm is activated and a message is sent to the caretaker and a nearest hospital along with the location. The project also consists of an android application which includes a voice output and the location.
UR - https://www.scopus.com/pages/publications/85185810741
UR - https://www.scopus.com/pages/publications/85185810741#tab=citedBy
U2 - 10.1063/5.0184534
DO - 10.1063/5.0184534
M3 - Conference contribution
AN - SCOPUS:85185810741
T3 - AIP Conference Proceedings
BT - AIP Conference Proceedings
A2 - Balamuralitharan, S.
A2 - Begum, Naziya
A2 - Iyer, Sailesh
A2 - Kumar, Anuj
PB - American Institute of Physics Inc.
T2 - 1st International Conference on Engineering, Medicine, Management, Arts and Sciences 2021, EMMA 2021
Y2 - 29 December 2021 through 31 December 2021
ER -