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ASSIST PROJECTS The University of Texas at Arlington Department of Computer Science and Engineering |
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| Our mission: Utilize computing, robotic, social work and communication technologies to assist people with disabilities. | |||
CONNECT: A Personal Remote Messaging and Monitoring Infrastructure for Persons with Disabilities
Partially supported by a $2.1 million grant from the Texas Health and Human Services Commission
The objective of Connect is to create a wireless communication
infrastructure and individually customized Personal Portable Devices (PPD) to
serve a broad section of the community of persons with disabilities.
Each PPD will be customized to serve the needs of its owner's particular disabilities.
These wireless devices will be always connected and small enough to be carried at all times.
Unlike traditional cell-phones or two-way pagers,
PPDs will include specially designed hardware and software to enhance and assist in the daily
routines and activities of persons with disabilities.
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For example, PPDs will be remotely accessed by caseworkers or nurses to remind
clients to take their medicine or perform their scheduled exercises.
PPDs will be remotely programmable, upgradeable, modular and adaptable according
to an individual's needs. New services such as health monitoring, telemedicine, and
personal emergency management will use this infrastructure to improve people's quality of life.
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| Please see our Connect Project demonstration at: http://connect.uta.edu | |
Other Projects:
AYUDA:
Our goal is to augment a standard electric wheelchair with sensors and "intelligent"
computer control to permit it to assist the user during navigation and to prevent it
from hitting walls, people and obstructions.
The wheelchair will be equipped with stereo cameras, sonar, and other sensors, and additional electronics. The wheelchair will "know" where it is, integrate user and autonomous control, and provide guidance feedback to the user to simplify navigation in tight spaces. |
ADAPT:
Adapt's goal is to provide adaptive user interfaces that can be
customized for each user and that can dynamically "learn" a person's device
interaction patterns and adapt the interface to optimally address the needs
and preferences of a specific user.
The result is a self-customizing interface that individualizes a person's interaction with the device to make it easy to use and appropriate for the user's disability. |
| UTA Assist Laboratory May 17, 2008 06:57:51 |