Computer access for people after stroke

Topics in Stroke Rehabilitation

Volumn 13, Issue 3, 2006, Pages 22-30

  Hitchcock, Ed ^a  

^a Rehabilitation Institute   (United States)

Author keywords

Alternative hardware; Assistive technology; Computer access; Impairment; Stroke; Voice recognition

Indexed keywords

ASSISTIVE TECHNOLOGY; AUTOMATIC SPEECH RECOGNITION; COGNITIVE DEFECT; COMPUTER ACCESS; COMPUTER PROGRAM; EVALUATION; HEMIPLEGIA; HUMAN; HUMAN COMPUTER INTERACTION; LANGUAGE DISABILITY; LOCKED IN SYNDROME; OCCUPATIONAL THERAPIST; PERCEPTION DISORDER; PHYSICAL DISEASE BY ANATOMICAL STRUCTURE; PRESCRIPTION; REVIEW; SPEECH DISCRIMINATION; STROKE; TRAINING;

CEREBROVASCULAR ACCIDENT; HUMANS; OCCUPATIONAL THERAPY; SELF-HELP DEVICES; SPEECH RECOGNITION SOFTWARE; STROKE; USER-COMPUTER INTERFACE;

EID: 33748275684     PISSN: 10749357     EISSN: None     Source Type: Journal    
DOI: 10.1310/0HWA-DJN8-JUPC-GET1     Document Type: Review

References (4)

1. Anson DK, Glodek M, Peiffer RM, Rubino CG, Schwartz PT. Long-term speed and accuracy of morse code vs. head-pointer interface for text generation. Paper presented at RESNA Conference; 2004; Orlando, Florida. Available at: http://atri.misericordia.edu/Papers/MorseVrs OnScreen.php
2. King T. Modern Morse Code in Rehabilitation and Education; New Applications in Assistive Technology. Boston: Allyn & Bacon; 2000:11-12.
3. Anson D, Moist P, Przywara M, Wells H, Saylor H, Maxime H. The effects of word completion and word prediction on typing rates using on-screen keyboards. Assistive Technol J. In press.
4. Fichten CS, Barile M, Asuncion J. Computer technologies and postsecondary students with disabilities: implications of recent research for rehabilitation psychologists. Rehabil Psychol. 2003;48(3): 207-214.