A wearable glove model with custom PCB implementation for Malaysian Sign Language recognition

Key Points

• The study aims to develop a wearable glove for recognizing Malaysian Sign Language to assist communication.
• Designed a custom printed circuit board (PCB) for the glove.
• Integrated sensors for gesture tracking and recognition.
• Tested accuracy of sign language recognition in controlled environments.
• Achieved 90% accuracy in recognizing basic signs.
• The glove demonstrated effective real-time feedback during tests.
• Significantly improved communication ease for users.