Ultrasonic array sensors for monitoring of human fall detection

Author

Nadee, Chokemongkol ; Chamnongthai, Kosin

Author_Institution

Electron. & Telecommun. Eng., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand

fYear

2015

Firstpage

1

Lastpage

4

Abstract

A way to reduce the falling risk in the area where closed-circuit television (CCTV) is not available has been studied systematically using ultrasonic sensors for detection. The ultrasonic sensors, behaving a receiver and a transmitter, connect to Arduino microcontroller in order to send the signal via WiFi to computer. The sensors are positioned to array on top and wall of room. Then, the threshold signal is analyzed to find the action such as stand, sit and fall by comparison between top and side signal. The various side signals can indicate the failure. In addition, the signal processing can achieve the temperature around the simple leading to classify an object or a human. The accuracy to indicate the fall is 92 percentages.

Keywords

accidents; biomechanics; biomedical telemetry; biomedical transducers; biomedical ultrasonics; biothermics; medical signal detection; medical signal processing; signal classification; telemedicine; ultrasonic transducers; wireless LAN; Arduino microcontroller; CCTV; WiFi; closed-circuit television; fall detection accuracy; falling risk reduction; human classification; human fall detection monitoring; object classification; receiver; sample temperature; side signal processing; signal transfer; sitting; standing; threshold signal analysis; top signal processing; transmitter; ultrasonic array sensor; ultrasonic sensor position; Acoustics; Monitoring; Sensor arrays; Temperature sensors; Ultrasonic variables measurement; fall detection; ultrasonic sensor; wireless;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on

Conference_Location

Hua Hin

Type

conf

DOI

10.1109/ECTICon.2015.7207097

Filename

7207097