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Accurate reaction time measurement during music therapy of children with developmental delays by utilizing deep learning technique
In recent years, AI deep learning technology has been recognized as a potential solution in many fields and applications. It has the ability to solve practical problems, especially the ability to identify and classify images. In addition to ordinary daily image recognition, it also includes applicat...
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Main Authors: | , , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | In recent years, AI deep learning technology has been recognized as a potential solution in many fields and applications. It has the ability to solve practical problems, especially the ability to identify and classify images. In addition to ordinary daily image recognition, it also includes applications in medical images. On the other hand, music therapy has been commonly used for children with developmental delays to stimulate children's visual, auditory and tactile sensory abilities and enhance children's developmental skills in different aspects. However, there was a lack of clear quantitative evidence of response time in previous music therapy treatments, mainly as there were no extra human resources to measure the response time accurately during the treatment process. In view of this, this paper aims to identify the time point when children turn their heads after being stimulated by the sound and calculate the reaction time after the sound stimulation for children with developmental delays in the process of music therapy, by using AI deep learning technology. In the experimental analysis, the reaction time is measured for children. The experimental results show that the average error of the reaction time measurement method proposed in this paper is less than 1 %, achieving the desired goal of accurately measuring the reaction time and analyzing the time error calculation. The method reduces the average error by about 6.5 times. |
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ISSN: | 0094-243X 1551-7616 |
DOI: | 10.1063/5.0113775 |