VIWA: COMPUTER INTERFACE DEVICE FOR PARALYZED PEOPLE USING BREATH PRESSURE

2016 ◽  
Vol 28 (01) ◽  
pp. 1650004
Author(s):  
Taher Bodaghi ◽  
Mohammad Reza Karami ◽  
Hamid Jazayeriy
Keyword(s):  
People With Disabilities ◽  
Computer Interface ◽  
Computer Access ◽  
Text Entry ◽  
Text To Speech ◽  
Mouse Cursor ◽  
Client Side ◽  
Interface Device

The VIWA system has been developed to provide computer access for paralyzed people. The system detects the users’ breath pressure with an electrical board and translates it to the location coordinates in computer display screen. The user navigates mouse cursor by specifying the coordination of x and y. A graphical keyboard has been designed to provide text-entry ability with text-to-speech embedded feature. The system is platform-independent and can be run in every client side devices. A group of 10 people without disabilities tested the VIWA and quickly learned how to use it to spell out messages or interact with computer. Ten people with disabilities also tried the system. The measured mistakes and time are showing that the user is capable to control the mouse cursor with the accuracy of 99.8%. The average time of experiment shows that users can reach their speed of writing to 7.9 words/min after two attempts.

scholarly journals The Selection of the Appropriate Computer Interface Device for Patients With High Cervical Cord Injury

2013 ◽  
Vol 37 (3) ◽  
pp. 443 ◽  
Author(s):  
Dong-Goo Kim ◽  
Bum-Suk Lee ◽  
Sung Eun Lim ◽  
Dong-A Kim ◽  
Sung Il Hwang ◽  
...  
Keyword(s):  
Computer Interface ◽  
Cervical Cord ◽  
Cord Injury ◽  
High Cervical ◽  
Cervical Cord Injury ◽  
Selection Of ◽  
Interface Device

Evaluation of Computer Interface Device with Eye-Gesture

2002 ◽  
Vol 2002.12 (0) ◽  
pp. 248-251
Author(s):  
Toshitake TATENO ◽  
Masanori IGOSHI ◽  
Shigeki MINEMURA
Keyword(s):  
Computer Interface ◽  
Eye Gesture ◽  
Interface Device

scholarly journals Behind the Scenes of Noninvasive Brain–Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter

2019 ◽  
Vol 4 (6) ◽  
pp. 1622-1636
Author(s):  
Kevin M. Pitt ◽  
Jonathan S. Brumberg ◽  
Jeremy D. Burnison ◽  
Jyutika Mehta ◽  
Juhi Kidwai
Keyword(s):  
Augmentative And Alternative Communication ◽  
Computer Interface ◽  
Computer Access ◽  
Alternative Communication ◽  
Primary Interest ◽  
Physical Impairments ◽  
Computer Interfaces ◽  
Brain Signals ◽  
Speech Science ◽  
Sensorimotor Rhythms

Purpose Brain–computer interface (BCI) techniques may provide computer access for individuals with severe physical impairments. However, the relatively hidden nature of BCI control obscures how BCI systems work behind the scenes, making it difficult to understand “how” electroencephalography (EEG) records the BCI-related brain signals, “what” brain signals are recorded by EEG, and “why” these signals are targeted for BCI control. Furthermore, in the field of speech-language-hearing, signals targeted for BCI application have been of primary interest to clinicians and researchers in the area of augmentative and alternative communication (AAC). However, signals utilized for BCI control reflect sensory, cognitive, and motor processes, which are of interest to a range of related disciplines, including speech science. Method This tutorial was developed by a multidisciplinary team emphasizing primary and secondary BCI-AAC–related signals of interest to speech-language-hearing. Results An overview of BCI-AAC–related signals are provided discussing (a) “how” BCI signals are recorded via EEG; (b) “what” signals are targeted for noninvasive BCI control, including the P300, sensorimotor rhythms, steady-state evoked potentials, contingent negative variation, and the N400; and (c) “why” these signals are targeted. During tutorial creation, attention was given to help support EEG and BCI understanding for those without an engineering background. Conclusion Tutorials highlighting how BCI-AAC signals are elicited and recorded can help increase interest and familiarity with EEG and BCI techniques and provide a framework for understanding key principles behind BCI-AAC design and implementation.

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