Presentation 2008-01-24
Communication Assistive System Using Mouth Shape Recognition for the Orthopedically-Impaired Patient
Ryo Kawakami, Akira Ohta, Akemi Iida,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The orthopedically-impaired people need care takers or assistive devices to support their ADL (Activities of Daily Living). The user interface for such devices needs to be simple as possible. Therefore, we designed a system that can automatically recognize several mouth shapes using image recognition techniques by referring to earlier studies. Mouth pattern images are saved in advance as templates. The system calculates the degree of similarity by comparing intensity distribution of each template and that of the image obtained from camera in order to recognize the mouth pattern without analyzing intensity distribution. Using this system, the experiment has been carried out with our orthopedically-impaired collaborator who has been giving us various comments and requests.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Orthopedically-Impaired / Image Recognition / Assisting Communication / Intensity Distribution / Template Matching
Paper # TL2007-69,SP2007-164,WIT2007-69
Date of Issue

Conference Information
Committee TL
Conference Date 2008/1/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Communication Assistive System Using Mouth Shape Recognition for the Orthopedically-Impaired Patient
Sub Title (in English)
Keyword(1) Orthopedically-Impaired
Keyword(2) Image Recognition
Keyword(3) Assisting Communication
Keyword(4) Intensity Distribution
Keyword(5) Template Matching
1st Author's Name Ryo Kawakami
1st Author's Affiliation School of Media Science, Tokyo University of Technology()
2nd Author's Name Akira Ohta
2nd Author's Affiliation / School of Media Science, Tokyo University of Technology
3rd Author's Name Akemi Iida
3rd Author's Affiliation
Date 2008-01-24
Paper # TL2007-69,SP2007-164,WIT2007-69
Volume (vol) vol.107
Number (no) 432
Page pp.pp.-
#Pages 5
Date of Issue