A Wearable System for Recognizing American Sign Language in Real-Time Using IMU and Surface EMG Sensors

• Published in: IEEE journal of biomedical and health informatics Vol. 20; no. 5; pp. 1281 - 1290
• Main Authors: Jian Wu, Lu Sun, Jafari, Roozbeh
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; American Sign Language (ASL) recognition; Arm - physiology; Assistive technology; Communication Aids for Disabled; Electromyography - methods; Electronics; Equipment Design; Feature extraction; feature selection; Female; Gesture recognition; Humans; inertial measurement unit (IMU) sensor; Male; Muscle, Skeletal - physiology; Pattern Recognition, Automated - methods; Real-time systems; sensor fusion; Sensor systems; Sign Language; Signal Processing, Computer-Assisted - instrumentation; Speech Recognition Software; surface EMG (sEMG)

A sign language recognition system translates signs performed by deaf individuals into text/speech in real time. Inertial measurement unit and surface electromyography (sEMG) are both useful modalities to detect hand/arm gestures. They are able to capture signs and the fusion of these two complement...