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Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies.

Raja Majid Mehmood1, Hyo Jong Lee2,3

  • 1Division of Computer Science and Engineering, Chonbuk National University, Jeonju 54896, Korea. rmeex07@gmail.com.

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Summary

This study introduces an intelligent emotion recognition system to aid special education instructors. The computer-aided method uses wearable technology to improve learning for students with mental or mood disorders.

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EEG based emotion recognitionbrain computer interfacebrain signalcomputer aided education

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Area of Science:

  • Computer Science
  • Special Education
  • Human-Computer Interaction

Background:

  • Human-computer interaction (HCI) is vital for improving daily living, particularly for individuals with disabilities.
  • Students with mental disorders or mood disruptions require tailored educational interfaces.
  • Current conventional methods in special schools may not fully address the unique needs of these students.

Purpose of the Study:

  • To develop an intelligent emotion recognition system for special education.
  • To enhance the learning process for students with mental or mood disorders.
  • To provide instructors with a novel computer-aided tool using wearable technologies.

Main Methods:

  • Development of a novel computer-aided method for special education.
  • Integration of wearable technologies for data acquisition.
  • Implementation of an intelligent emotion recognition system to detect brain's emotional state.

Main Results:

  • The proposed system offers a new approach for instructors in special schools.
  • Wearable technologies enable real-time monitoring of students' emotional states.
  • The system supports instructors in managing and teaching students with specific needs.

Conclusions:

  • The intelligent emotion recognition system provides a valuable tool for special education.
  • This computer-aided method, utilizing wearable technology, can significantly improve the learning experience for students with mental or mood disorders.
  • Further research can explore broader applications of HCI in special education.