Parnin, Sulleha and Rahman, Md. Mozasser
(2017)
Human location estimation using thermopile array sensor.
In: 6th International Conference on Mechatronics (ICOM’17), 8th-9th August 2017, Kuala Lumpur.
Abstract
Utilization of Thermopile sensor at an early stage of
human detection is challenging as there are many things
produce thermal heat other than human such as electrical
appliances and animals. Therefrom, an algorithm for early
presence detection has been developed through the study
of human body temperature behaviour with respect to the
room temperature. The change in non-contact detected
temperature of human varied according to body parts. In
an indoor room, upper parts of human body change up to
3 o C whereas lower part ranging from 0.58 o C to 1.71 o
C. The average changes in temperature of human is used
as a conditional set-point value in the program algorithm
to detect human presence. The current position of human
and its respective angle is gained when human is detected
to be presented at certain pixels of sensor array. Human
position estimated successfully as the developed sensory
system is tested to Stand Fan.
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