IOT based application to detect fall with a measured force

Title

IOT based application to detect fall with a measured force

Creator

Kullu A.S.; Vijayalakshmi A.

Description

Fall of patients and aged individuals may end up deadly if unnoticed in time. A fall detection framework has been developed which sends caution notification to the concerned individuals or to the specialist, at the time of occurrence. To limit the consequences of associated wounds/damage caused by the fall, such a device has been developed. The model in this study, detects the fall and measures the force of the fall without using the force sensor and the direction of the fall. In this study, the body posture is obtained from change of increasing speed in three axes, which is measured with a triaxial accelerometer (ADXL335). The sensor is set on the lumbar area to interpret the tilt point. The value obtained from the sensor is compared with the threshold given to diminish the false cautions and furthermore provides the force by which the individual has fallen and the direction in which the person has fallen. The threshold value is computed by the execution of various trials on subjects in different directions of fall. The sensor data is collected on the fall is computed and analyzed in the Audrino microcontroller. The location of fall is detected by GPS beneficiary, which is customized to trace the subject persistently. On detecting the fall, the gadget sends an instant message through GSM module to the emergency contact. The developed model is tested on 7 volunteers who replicated falls in different direction with varying forces. Out of 28 trials, 80% of exactness is accomplished with zero false cautions for dayto-day activities like sitting, lying down on bed and grabbing objects. IAEME Publication.

Source

International Journal of Civil Engineering and Technology, Vol-9, No. 4, pp. 126-137.

Date

2018-01-01

Publisher

IAEME Publication

Subject

ADXL335; Direction; Elderly people.; Force; Head- fall detection

Coverage

Kullu A.S., Department of Computer Science, Christ University, Bengaluru, India; Vijayalakshmi A., Department of Computer Science, Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 9766308

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046371775&partnerID=40&md5=c7b967f4241f1bb0980db76c4b02a698