The Application of Music Therapy For Children with Autism Based On Facial Recognition Using Eigenface Method

Hesti Khuzaimah Nurul Yusufiyah*  -  Department of Physics, Faculty of Science and Technology, Universitas Islam Walisongo Semarang, Central Java, Indonesia
Ilona Usuman  -  Dapartment of Computer Science and Electronics, Faculty of Mathematics and Natural Science, Universitas Gadjah Mada, Yogyakarta, Indonesia
Agfianto Eko Putra  -  Dapartment of Computer Science and Electronics, Faculty of Mathematics and Natural Science, Universitas Gadjah Mada, Yogyakarta, Indonesia
Triyogatama Wahyu Widodo  -  Dapartment of Computer Science and Electronics, Faculty of Mathematics and Natural Science, Universitas Gadjah Mada, Yogyakarta, Indonesia

(*) Corresponding Author

This research is motivated by the condition of children with autism who require continuous monitoring without a parent accompany, and certain therapies who is capable to reduce repetitive behaviors and increase the concentration. Music therapy is one of the treatment which able to perform it. The implementation of this research is located in a special schools with autism, the perform is proper at certain times and requires tools for music therapy. Therefore, the integrated device was made to monitor the activities of children with autism, as well as providing music therapy automatic face recognition based on Eigenface method.This device perform when the children with autism under certain conditions (e.g. crying, the teacher would not work orders, etc.), then by capturing the the facial image, the system will process to compare the similarity with the existing database. Then, the shortest distance of euclidean is chosen. If the captured of facial image is similar to the one existing database, then the music is performed as music therapy for children with autism. The results of this system, indicates that the child's responses become more calm, easy concentration, and the repetitive attitude is reduced. While the accuracy of the system achieves by 80% (compare with the old and new database) and 20%. (without new database). ©2017 JNSMR UIN Walisongo. All rights reserved.

Keywords : Autism; Music Therapy; Face Recognition; Eigenface

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Open Access Copyright (c) 2017 Journal Of Natural Sciences And Mathematics Research

Economica: Jurnal Ekonomi Islam
Published by Faculty of Sciences and Technology UIN Walisongo Semarang
Jl Prof. Dr. Hamka Kampus III Ngaliyan Semarang 50185
Phone: +62 81225797962
Website: https://journal.walisongo.ac.id/index.php/JNSMR
Email:jnsmr@walisongo.ac.id

ISSN: 2614-6487 (Print)
ISSN: 2460-4453 (Online)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

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