Citation

Editor PJ, Kumawat Y, Shekhawat YS, Singh AK, Soni Y, Mishra MJP. Pratibodh A Journal for Engineering 2023; RACON 2023.

Copyright

(Copyright © 2023)

DOI

unavailable

PMID

unavailable

Abstract

This paper presents a patient-specific fall prediction and detection prototype system that utilizes a single tri-axial accelerometer attached to the patients to distinguish between activities of daily living and fall events. Falls in older adults are a major cause of morbidity and mortality and are a key class of preventable injuries. Elderly people often injure themselves from falling more especially when they are living alone. This method will restrict the user movement and produce high false alarm due to frequent swinging and movement of the device. For fall detection, accelerometer and gyroscope was used to detect acceleration and body tilt angle of the faller respectively and is based on microcontroller (Adriano-UNO) and the sensor is MPU6050 Accelerometer and Gyro Chip.

Language: en