Wearable EDA sensor gloves using conducting fabric and embedded system

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Physiological Monitoring

Background:

• Electro-dermal Activity (EDA) signals, comprising Skin Conductance Level (SCL) and Skin Conductance Response (SCR), reflect physiological responses.
• Existing EDA measurement methods often lack the convenience and unobtrusiveness required for continuous wearable applications.

Purpose of the Study:

• To develop a wearable EDA sensor system for detecting human physiological conditions, specifically drowsiness.
• To create a more comfortable and practical EDA sensor using conductive fabric, replacing traditional AgCl electrodes.

Main Methods:

• Development of EDA sensor gloves utilizing conductive fabric for enhanced wearability.
• Integration of an embedded system for real-time EDA signal acquisition and processing.
• Connection of the embedded system to a Notebook PC for data analysis and user feedback.

Main Results:

• Successful fabrication of wearable EDA sensor gloves using conductive fabric.
• Demonstration of an embedded system capable of acquiring and processing EDA signals.
• Implementation of a feedback mechanism on a Notebook PC based on processed EDA data.

Conclusions:

• The developed wearable EDA sensor gloves offer a promising solution for continuous physiological monitoring.
• This system has potential applications in preventing drowsiness-related incidents, such as in driving.
• The use of conductive fabric and an embedded system enhances the practicality and usability of EDA sensing technology.