Stretchable, Rechargeable, Multimodal Hybrid Electronics for Decoupled Sensing toward Emotion Detection.

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Sensor Technology

Background:

• Multimodal sensing in stretchable electronics is hindered by signal coupling.
• Practical applications require integrated, decoupled sensing capabilities.

Purpose of the Study:

• To develop a fully integrated, stretchable, rechargeable, multimodal hybrid device for emotion recognition.
• To enable decoupled real-time monitoring of physiological and environmental parameters.

Main Methods:

• Optimized structural design and material selection for decoupled sensors (biaxial strain, temperature, humidity, heart rate, SpO2).
• Stacked bilayer design for sensors and flexible circuits.
• Integration of a flexible wireless powering and transmitting module.
• Development of a neural network model for facial expression recognition.

Main Results:

• Continuous real-time decoupled monitoring of multiple parameters achieved.
• Reduced device footprint and improved comfort due to stacked bilayer design.
• High-precision facial expression recognition demonstrated.
• Successful real-time data transmission to mobile devices and cloud for telemedicine.

Conclusions:

• The developed device overcomes signal coupling challenges in multimodal stretchable electronics.
• The system facilitates remote psychological health evaluation and emotional support via telemedicine.
• This technology advances the integration of wearable sensors for healthcare.