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The therapeutic effect of mechanical motion sensor technology and emotion recognition technology on hyperactivity disorder

Published online by Cambridge University Press:  27 October 2023

Pu Zhang*
Affiliation:
Yulin University, Yulin 719000, China
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Abstract

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Background

Hyperactivity disorder is a common childhood mental disorder characterized by inattention, hyperactivity, and impulsive behaviors. Adolescent children often experience various problems due to their own developmental differences, which can lead to the symptoms of hyperactivity disorder. Therefore, the experiment proposes the use of mechanical motion sensor technology combined with emotion recognition for the treatment of hyperactivity disorder in children.

Subjects and Methods

This study selected 120 children diagnosed with hyperactivity disorder and randomly divided them into two groups, each consisting of 60 children. The experimental group received treatment intervention using mechanical motion sensor technology combined with emotion recognition technology; The control group received routine treatment. The observation period is 3 months, and the data generated during the process is statistically analyzed by SPSS24.0. Conners rating scale is used to provide feedback on therapeutic effects.

Results

Compared with the control group, all patients in the experimental group showed a reduction in symptoms of hyperactivity disorder, with over 60% of children. It showed that the experimental method has a positive therapeutic effect. Body functions like impulse control and physical movement of the children are significantly improved.

Conclusions

This indicates that mechanical motion sensor technology combined with emotion recognition technology has potential therapeutic effects in the treatment of hyperactivity disorder. This study provides new ideas and methods for the treatment of hyperactivity disorder and provides a foundation for further research.

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press