Penerapan Sistem Identifikasi Ekspresi Wajah Anak Penyandang Autisme Berbasiskan Citra Termal pada Sekolah Berkebutuhan Khusus di Banda Aceh

Melinda Melinda, Yunidar Yunidar, Muhammad Irhamsyah, Muharratul Mina Rizky, Hendrik Leo, Fahmi Fahmi

Abstract


This community service activity aims to apply technology to detect facial expressions of children with autism through thermal images. The activity was carried out at My Hope Special Need Center, Banda Aceh, an educational center for orphans and children with special needs. By utilizing a combination of psychological and technological approaches, data collection is carried out in the form of thermal images of the faces of children with and without autism. The data obtained was analyzed using the Convolutional Neural Network (CNN) approach to develop an automatic facial expression detection method. The results of this activity show the potential use of facial recognition technology in supporting education and therapy for children with special needs.

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References


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Jurnal Pengabdian Rekayasa dan Wirausaha (JPRW) is published under license of Creative Commons Attribution-ShareAlike 4.0 International License.