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Related Concept Videos

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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
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Related Experiment Video

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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Novel navigation assistive device for deaf drivers.

Mwaffaq Otoom1, Mohammad A Alzubaidi1, Rama Aloufee1

  • 1Computer Engineering Department, Yarmouk University, Irbid, Jordan.

Assistive Technology : the Official Journal of RESNA
|January 8, 2020
PubMed
Summary
This summary is machine-generated.

This study developed a novel assistive device for deaf drivers, converting GPS navigation voice commands into vibration patterns. The device achieved high accuracy and positive user ratings, enhancing driving accessibility.

Keywords:
Assistive Technologydeaf driversreal-time systemsspeech recognitionvibrotactile stimulationvoice-based navigation systems

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Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Accessibility Research

Background:

  • Over 466 million people globally experience disabling hearing loss.
  • Severe hearing impairment limits access to auditory information, including voice-based navigation.
  • Existing assistive technologies can be enhanced for specific user groups like deaf drivers.

Purpose of the Study:

  • To develop an assistive device for deaf drivers to interpret GPS navigation instructions.
  • To translate voice navigation into understandable vibrotactile stimuli.
  • To improve the independence and safety of deaf drivers using navigation technology.

Main Methods:

  • Voice-stream navigation instructions were captured and a 13-element feature vector was extracted.
  • A K-Nearest-Neighbor classifier achieved 99.05% accuracy in classifying six unique navigation instruction categories.
  • Navigation instructions were mapped to distinct vibration patterns delivered via bracelet-mounted motors.

Main Results:

  • The K-Nearest-Neighbor classifier significantly outperformed five other classifiers.
  • A usability study with ten deaf drivers showed a high overall mean rating of 4.67/5.
  • The chosen design utilized two sets of five vibration motors on bracelets for optimal user experience.

Conclusions:

  • The developed assistive device is effective and useful for deaf drivers.
  • Vibrotactile feedback provides a viable alternative for auditory navigation instructions.
  • This technology has the potential to significantly enhance road safety and independence for the deaf community.