Super-adhesive sensor based on amylopectin-polyacrylic acid hydrogel for deep learning-assisted sign language recognition

Key Points

• The hydrogel sensor achieved high accuracy in recognizing sign language gestures, highlighting its potential for real-time applications.
• In tests, the sensor demonstrated over 90% accuracy when paired with deep learning models for gesture interpretation.
• These findings stem from an innovative approach combining amylopectin and polyacrylic acid hydrogels, optimized for adhesion and sensitivity.
• The results indicate that implementing this technology may enhance assistive communication devices for various populations.