Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Anomaly detection for travelling individuals with cognitive impairments

Anomaly detection for travelling individuals with cognitive impairments Anomaly Detection for Travelling Individuals with Cognitive Impairments Yao-Jen Chang Department of Electronic Engineering, Chung Yuan Christian University, Taiwan yjchang@cycu.edu.tw Introduction Persons with mental impairments tend to be viewed as unemployable and systematically excluded from labor markets. However, this assumption has been challenged recently after the development of community rehabilitation, and supported employment services in particular. With sufficient and appropriate support on the job, many people with mental illness are capable of participating in the world of work to various levels, which not only provides them with financial support but also opportunity for social integration. Social integration includes community-based living, recreation and leisure pursuits, use of community services, and independent movement in and around the community through the use of public transportation. Coupled with this increased independence and integration is risk. With repeated training continued with daily practice, the individuals usually have no problems of getting lost or disoriented. However, there are occasions that individuals do forget how to travel to and from work. For example, part-timers with fewer shifts have more chances of running into transportation problems because they forget the routes. For places with many distractions, few landmarks that can help remain oriented, or surroundings that http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Anomaly detection for travelling individuals with cognitive impairments

Loading next page...
 
/lp/association-for-computing-machinery/anomaly-detection-for-travelling-individuals-with-cognitive-7DRnXkQoBE
Publisher
Association for Computing Machinery
Copyright
Copyright © 2010 by ACM Inc.
ISSN
1558-2337
DOI
10.1145/1873532.1873535
Publisher site
See Article on Publisher Site

Abstract

Anomaly Detection for Travelling Individuals with Cognitive Impairments Yao-Jen Chang Department of Electronic Engineering, Chung Yuan Christian University, Taiwan yjchang@cycu.edu.tw Introduction Persons with mental impairments tend to be viewed as unemployable and systematically excluded from labor markets. However, this assumption has been challenged recently after the development of community rehabilitation, and supported employment services in particular. With sufficient and appropriate support on the job, many people with mental illness are capable of participating in the world of work to various levels, which not only provides them with financial support but also opportunity for social integration. Social integration includes community-based living, recreation and leisure pursuits, use of community services, and independent movement in and around the community through the use of public transportation. Coupled with this increased independence and integration is risk. With repeated training continued with daily practice, the individuals usually have no problems of getting lost or disoriented. However, there are occasions that individuals do forget how to travel to and from work. For example, part-timers with fewer shifts have more chances of running into transportation problems because they forget the routes. For places with many distractions, few landmarks that can help remain oriented, or surroundings that

Journal

ACM SIGACCESS Accessibility and ComputingAssociation for Computing Machinery

Published: Jun 1, 2010

There are no references for this article.