Search for:
Search
Skip to content
Search for:
Search
Search
Donate
Donate
About Us
Menu Toggle
Mission Statement
History
Leadership
Funding Sources
Directions to SKERI
People
Science
Menu Toggle
Centers
Labs
Projects
Publications
Fellowship Programs
Menu Toggle
Overview
Current Mentors
Current Fellows
Past Fellows
How To Apply
Careers
What’s New
Menu Toggle
News
Events
Get Involved
Menu Toggle
Why Get Involved
Menu Toggle
Giving Options
Participate in a Study
Volunteers
Donate
Administration
Menu Toggle
Grants Management
Menu Toggle
Post-Award
Pre-Award
IRB
Menu Toggle
Forms
Human Subjects Training
Library
Conflict of Interest Policy
Main Menu
About Us
Menu Toggle
Mission Statement
History
Leadership
Funding Sources
Directions to SKERI
People
Science
Menu Toggle
Centers
Labs
Projects
Publications
Fellowship Programs
Menu Toggle
Overview
Current Mentors
Current Fellows
Past Fellows
How To Apply
Careers
What’s New
Menu Toggle
News
Events
Get Involved
Menu Toggle
Why Get Involved
Menu Toggle
Giving Options
Participate in a Study
Volunteers
Donate
Administration
Menu Toggle
Grants Management
Menu Toggle
Post-Award
Pre-Award
IRB
Menu Toggle
Forms
Human Subjects Training
Library
Conflict of Interest Policy
Search for:
Search
Search
Home
/
Publications
/
Real-time walk light detection with a mobile phone
Real-time walk light detection with a mobile phone
Publication Types
Conference Paper
Authors
Volodymyr Ivanchenko;
James Coughlan;
Huiying Shen;
Conference Name
Computers Helping People with Special Needs
Publisher
Springer Berlin Heidelberg
Year of Publication
2010
Date Published
07/2010
Google Scholar
Related Centers, Labs, Projects
Coughlan Lab
Rehabilitation Engineering Research Center
Crosswatch
Download Publication