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IEEE Transactions on Neural Systems and Rehabilitation Engineering
Article . 2013 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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A Dual-Mode Human Computer Interface Combining Speech and Tongue Motion for People with Severe Disabilities

Authors: Hangue Park; Jeonghee Kim; Maysam Ghovanloo; Xueliang Huo;

A Dual-Mode Human Computer Interface Combining Speech and Tongue Motion for People with Severe Disabilities

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.

Related Organizations
Keywords

Adult, Male, Miniaturization, Movement, Reproducibility of Results, Equipment Design, Sensitivity and Specificity, Equipment Failure Analysis, User-Computer Interface, Speech Production Measurement, Tongue, Reference Values, Therapy, Computer-Assisted, Task Performance and Analysis, Cervical Vertebrae, Humans, Female, Speech Recognition Software, Wireless Technology, Spinal Cord Injuries

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    38
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
gold