Design of Fuzzy Logic Motion Detection Algorithm for the Bracelet Type Sensor Consisting of Conductive Layer-Polymer...

Area of Science:

• Materials Science
• Biomedical Engineering
• Algorithm Development

Background:

• Wearable sensors are crucial for motion detection.
• Existing sensors face challenges in accuracy and sensitivity.
• Carbon-based conductive polymer composite films offer potential for improved sensor design.

Purpose of the Study:

• To develop a fuzzy-logic algorithm for enhanced motion detection.
• To improve the performance of bracelet-type sensors using novel composite films.
• To accurately identify forearm movements and resting states.

Main Methods:

• Developed a bracelet sensor with two modules using polyethylene terephthalate polymer films and carbon paste.
• Integrated mechanical parts to detect surface resistance variations.
• Utilized a fuzzy-logic algorithm to process voltage signals from resistance changes.

Main Results:

• The fuzzy-logic algorithm achieved 94% accuracy in motion detection.
• Successfully identified four distinct forearm motions and the resting state.
• Demonstrated improved performance compared to previous research in motion detection.

Conclusions:

• The developed fuzzy-logic algorithm significantly enhances motion detection accuracy for wearable sensors.
• Carbon-based conductive polymer composite films are effective materials for sensitive motion detection.
• This approach shows promise for advanced human-computer interaction and health monitoring applications.