1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
10 years of news and resources for members of the IEEE Signal Processing Society
Researchers at Texas A&M University have developed a wearable device prototype that can translate American Sign Language into English in real-time. This technology provides a solution to communication problems between deaf and hearing people.
Real-time American Sign Language Recognition using Wrist-worn Motion and Surface EMG sensors.
Courtesy of the researchers.
The device combines motion and surface electromyographic (sEMG) sensors to interpret hand gestures. The motion sensor measures the accelerations and angular velocities of the hand and arm using an accelerometer and gyroscope while the sEMG sensor measures the electrical potential of muscle activities. In its prototype stage, the device can recognize 40 American Sign Language words with nearly 96 percent accuracy. This work was presented at the IEEE 12th Annual Body Sensor Networks Conference in June 2015.
For more information, please visit the Embedded Signal Processing Lab (ESP) at Texas A&M University.
© Copyright 2020 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.