Automatic Measurement of Human Body Temperature on Thermal Image Using Knowledge-Based Criteria
| Autor: | Hurriyatul Fitriyah, Aditya Rachmadi, Gembong Edhi Setyawan |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | JITeCS (Journal of Information Technology and Computer Science), Vol 2, Iss 2 (2017) |
| Druh dokumentu: | article |
| ISSN: | 2540-9433 2540-9824 |
| DOI: | 10.25126/jitecs.20172235 |
| Popis: | Instead of thermometer, an infrared camera could be uti- lized to scan body temperature instantly and non-contact. This paper proposed a non-contact measurement of human body temperature by au- tomatically locating inner-chantus on thermal images. The inner-canthus were detected in both eyes individually. It located inner-canthi based on temperature where inner-canthi has the highest temperature in face area. A Thresholding based on 9-highest temperature were applied to detect candidates of inner-canthus' blob as it must have minimum 9 pixel area according to the Standard. Three knowledge based on characteristic of eye were also applied in the algorithm as several spot in face usually falls within the temperature threshold. The result show accuracy of al- gorithm to detect eye is 82% whether the eyelids were open or closed. There is no signicant dierent of temperature between closed and open eyes based on paired t-test. The algorithm also showed similar result to thermometer measurement based on paired t-test. |
| Databáze: | Directory of Open Access Journals |
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