Title :
A Dual-Mode Human Computer Interface Combining Speech and Tongue Motion for People with Severe Disabilities
Author :
Xueliang Huo ; Hangue Park ; Jeonghee Kim ; Ghovanloo, Maysam
Author_Institution :
GT-Bionics Lab., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We are presenting a new wireless and wearable human computer interface called the dual-mode Tongue Drive System (dTDS), which is designed to allow people with severe disabilities to use computers more effectively with increased speed, flexibility, usability, and independence through their tongue motion and speech. The dTDS detects users´ tongue motion using a magnetic tracer and an array of magnetic sensors embedded in a compact and ergonomic wireless headset. It also captures the users´ voice wirelessly using a small microphone embedded in the same headset. Preliminary evaluation results based on 14 able-bodied subjects and three individuals with high level spinal cord injuries at level C3-C5 indicated that the dTDS headset, combined with a commercially available speech recognition (SR) software, can provide end users with significantly higher performance than either unimodal forms based on the tongue motion or speech alone, particularly in completing tasks that require both pointing and text entry.
Keywords :
biomechanics; body sensor networks; handicapped aids; headphones; human computer interaction; injuries; magnetic sensors; neurophysiology; sensor arrays; speech recognition; speech recognition equipment; telemedicine; able-bodied subject; commercially available speech recognition software; compact ergonomic wireless headset; dTDS design; dTDS headset; dual-mode Tongue Drive System; dual-mode human computer interface; embedded magnetic sensor array; embedded magnetic tracer; embedded small microphone; high level spinal cord injury; pointing task completion; severely disabled people; speech-tongue motion combination; text entry task completion; user tongue motion detection; wearable human computer interface; wireless human computer interface; wireless user voice capture; Computers; Headphones; Magnetoacoustic effects; Tongue; Transceivers; Wireless communication; Wireless sensor networks; Assistive technologies; human computer interaction; speech recognition; spinal cord injury; tongue motion; wireless; Adult; Cervical Vertebrae; Equipment Design; Equipment Failure Analysis; Female; Humans; Male; Miniaturization; Movement; Reference Values; Reproducibility of Results; Sensitivity and Specificity; Speech Production Measurement; Speech Recognition Software; Spinal Cord Injuries; Task Performance and Analysis; Therapy, Computer-Assisted; Tongue; User-Computer Interface; Wireless Technology; Word Processing; Young Adult;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2013.2248748