UCLA researchers in the Department of Bioengineering have developed an integrated stretchable sensor array (ISSA) system for real-time translation of sign language into voice. Sensors are integrated into the fingers of a glove and the analog signals generated by each finger are processed into digital signals which are subsequently translated to voice. The ISSA system has been successfully prototyped and used to demonstrate the 660 sign language gestures recognition patterns based on American Sign Language, with a recognition rate of 98.63% and a rapid translation of <1 second.
UCLA researchers in the Department of Bioengineering have developed a novel machine learning assisted wearable sensor system for the direct translation of sign language into voice with high performance.
- Mechanical and chemical durability
- Flexible material
- High sensitivity (2.07 V)
- Quick response time (<15 ms)
- Sign language translation
- General body and gesture recognition
- Robotics monitoring and development
- Remote control
Name: UCLA Technology Development Group