Proposer : Dr.M.Krishnaveni, Assistant Professor of Computer Science Avinashilingam University for Women, Coimbatore, India
Conference Track : Pattern Recognition and Machine Learning
Keywords : Intelligent Assistive devices ,Disabilities, Pattern analysis, AT tools, Wearable computing
Nowadays, it is clear, the growing importance of the role that Artificial Intelligence (AI) – specially Knowledge-Based Systems (KBS) – is playing in business, finance, science, medicine, engineering, manufacturing, education, the military, law, and the arts in making decisions under uncertainty. However, relatively few applications address the important problems of enhancing the quality of life for people with disabilities. The challenges associated with designing and constructing general-purpose assistive devices are great. Today Assistive technology is not an option, but a necessity and a right for the individuals with special needs. But the current capabilities of many AI systems closely match some of the specialized needs of disabled people. Speech recognition, speech generation, text understanding, language generation, limited-task manipulators, vision systems, and so on can be immensely useful to someone with severe physical limitations. Providing solutions for the constrained problems will make a big difference for the above-mentioned areas. Worldwide AI researchers have also contributed to the domain of assistive technology and in investigating new methods. It also includes new user interfaces for computers to accommodate people with different kinds and varying degrees of motor, hearing, or visual disabilities. The same kinds of AI methods and principles that achieve flexibility in current applications should be applicable to tailoring devices for specialized needs. Research in this area needs to build on past research on user interface technology, as well as AI, to come up with new solutions that can be tailored to the needs of specific individuals and adapt to changing needs. Few important feature of the disability problems were analyzed by our team and substantial amount of AI research has been done relevant to the applications considered. For example, intelligent walking device for visually impairments people, vision based recognition for Indian Sign language and Tamil Sign language ,AI model for Brain Computer Interface system, Patient voice monitoring system, and Analysis model for Tamil stuttering people. To add more, embedded concepts applied devices were developed under different categories of disabilities which are mentioned to be robust, portable and cost effective. This tutorial is a collection of experience under AT based on AI on many significant tasks. This tutorial will make clear about the research and the understanding of what is needed by the disabled persons who will use the devices, as well as what is possible with the current AI technology.