The development and broad public dissemination of modern information and communication technologies imply a need for new requirements to corresponding user interfaces. There is a significant rise of diversity in physical form-factors of interactive devices, as well as the underlying software platforms on which those devices are based.
The vast majority of present society, including people with special needs, requires access to modern information technologies. This trend represents a challenge for corresponding user interface technologies.
Corresponding technologies should offer a sufficient level of adaptivity and context-sensitivity while preserving reasonable development costs. The requirements for this dissertation thesis have been coordinated with the results of an extensive survey of the state of art in this field.
Our approach represents a method for context-sensitive automatic user interface generation. It relies on several methods introduced in the framework of this work.
A Intelligent adaptive interpretation system is having ability to interpret user’s speech and hand gesture in real time to manipulate medical image visualization environment.
The proposed method for the user interface description and delivery supports consistent models on different levels of abstraction, as well as a seamless integration of the individual components of our system. As part of our approach, we suggest a context model that reduces development and maintenance complexity by the introduction of a concept of consistent independent sub-models.
Intelligent adaptive interface build the bridge between user and machine for taking decision regarding strategies, harvesting and economical fluctuations. Thus objective of the project is to enhance the control and productivity of small acreage cultivation by keeping point of view problems faced by users and upgrading the development and dissemination of prototype interface module.