Implementation of Distracted Estimation System based on Sensor Fusion through Correlation Analysis with...

Area of Science:

• Biomedical Engineering
• Human-Computer Interaction
• Ergonomics

Background:

• Prolonged sitting contributes to chronic diseases like musculoskeletal disorders, cardiovascular issues, diabetes, and obesity.
• Poor posture from childhood can negatively impact musculoskeletal development and lead to attention deficits and reduced academic performance.

Purpose of the Study:

• To develop and evaluate a sensor-based system for estimating distraction levels and preventing musculoskeletal diseases associated with poor sitting posture.
• To correlate postural changes with concentration levels to provide real-time feedback and interventions.

Main Methods:

• Implementation of a sensor-fusion system using a sitting cushion to detect the center of gravity and analyze postural changes.
• Correlation analysis between postural change data (Distracted Limit Estimation Index) and electroencephalography (Concentration Index).
• System performance evaluation through posture repetition tests and a movie-watching scenario.

Main Results:

• The system achieved a high posture determination accuracy of 99.04% across 10 subjects and 100 repetitions.
• A significant inverse correlation (r = -0.975076, P < 0.00001) was found between postural changes and concentration levels.
• Objective confirmation of the correlation between the Distracted Limit Estimation Index and the Concentration Index.

Conclusions:

• The developed sitting cushion system effectively estimates distraction and identifies poor posture, offering a potential tool for preventing associated health issues.
• The findings highlight the strong link between physical posture, movement, and cognitive concentration, applicable to daily life and educational settings.
• This technology can aid in promoting healthier sitting habits and improving focus, particularly for individuals spending extended periods seated.