Human location estimation using thermopile array sensor
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...
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iium-590812018-03-16T01:54:47Z http://irep.iium.edu.my/59081/ Human location estimation using thermopile array sensor Parnin, Sulleha Rahman, Md. Mozasser TJ212 Control engineering 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. IOP Publishing 2017-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/59081/20/59081%20Human%20location%20estimation%20using.pdf application/pdf en http://irep.iium.edu.my/59081/21/59081%20Human%20location%20estimation%20using%20SCOPUS.pdf 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. http://www.iium.edu.my/icom/ 10.1088/1757-899X/260/1/012007 |
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TJ212 Control engineering |
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TJ212 Control engineering Parnin, Sulleha Rahman, Md. Mozasser Human location estimation using thermopile array sensor |
description |
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. |
format |
Conference or Workshop Item |
author |
Parnin, Sulleha Rahman, Md. Mozasser |
author_facet |
Parnin, Sulleha Rahman, Md. Mozasser |
author_sort |
Parnin, Sulleha |
title |
Human location estimation using thermopile array sensor |
title_short |
Human location estimation using thermopile array sensor |
title_full |
Human location estimation using thermopile array sensor |
title_fullStr |
Human location estimation using thermopile array sensor |
title_full_unstemmed |
Human location estimation using thermopile array sensor |
title_sort |
human location estimation using thermopile array sensor |
publisher |
IOP Publishing |
publishDate |
2017 |
url |
http://irep.iium.edu.my/59081/ http://irep.iium.edu.my/59081/ http://irep.iium.edu.my/59081/ http://irep.iium.edu.my/59081/20/59081%20Human%20location%20estimation%20using.pdf http://irep.iium.edu.my/59081/21/59081%20Human%20location%20estimation%20using%20SCOPUS.pdf |
first_indexed |
2023-09-18T21:23:38Z |
last_indexed |
2023-09-18T21:23:38Z |
_version_ |
1777412046998994944 |