Machine Learning
Introduction to Multiagent Systems
Introduction to Multiagent Systems
An Intelligent Assistant for Navigation of Visually Impaired People
BIBE '01 Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering
A Distributed Architecture for Dynamic Analyses on User-Profile Data
CSMR '04 Proceedings of the Eighth Euromicro Working Conference on Software Maintenance and Reengineering (CSMR'04)
Digital Ground: Architecture, Pervasive Computing, and Environmental Knowing
Digital Ground: Architecture, Pervasive Computing, and Environmental Knowing
Cyber Crumbs for Successful Aging with Vision Loss
IEEE Pervasive Computing
Structure Analysis for Dynamic Software Architecture
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
A note on the utility of incremental learning
AI Communications
EURASIP Journal on Applied Signal Processing
The user profile for the virtual home environment
IEEE Communications Magazine
Task migration in a pervasive multimodal multimedia computing system for visually-impaired users
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
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Incorporating multimodality in a computing system makes computing more accessible to a wide range of users, including those with impairments. This work presents a paradigm of a multimodal multimedia computing system to make informatics accessible to visually-impaired users. The system's infrastructure determines the suitable applications to be used. The user's context and user data type are considered in determining the types of applications, media and modalities that are appropriate to use. The system design is pervasive, fault-tolerant and capable of self-adaptation under varying conditions (e.g. missing or defective components). It uses machine learning so that the system would behave in a pre-defined manner given a pre-conceived scenario. Incremental learning is adapted for added machine knowledge acquisition. A simulation of system's behaviour, using a test case scenario, is presented in this paper. This work is our original contribution to an ongoing research to make informatics more accessible to handicapped users.