Arthur Karshmer

Living assistance systems: an ambient intelligence approach

In this paper, we present an integrated system concept for the living assistance domain based on ambient intelligence technology and discuss the resulting challenges for the software engineering discipline. Automated living assistance systems represent a promising approach for the prolongation of an independent and self-conducted life of handicapped and elderly people thereby, enhancing their quality of life and minimizing the need for manual social/medical care. It is demonstrated that living assistance systems must realize flexibility and adaptability at the algorithmic, architectural and human interface level to an extent unknown in present systems. The construction of robust, trustworthy living assistance systems is an extremely challenging task and requires novel approaches for dependable self-adapting software architectures, resource efficiency, and self-adapting multi-modal human-computer interfaces. The resulting consequences and challenges for the discipline of software engineering are outlined in this paper.

Intelligent non-visual navigation of complex HTML structures

Abstract.This paper provides an overview of a project aimed at using knowledge-based technology to improve accessibility of the Web for visually impaired users. The focus is on the multi-dimensional components of Web pages (tables and frames); our cognitive studies demonstrate that spatial information is essential in comprehending tabular data, and this aspect has been largely overlooked in the existing literature. Our approach addresses these issues by using explicit representations of the navigational semantics of the documents and using a domain-specific language to query the semantic representation and derive navigation strategies. Navigational knowledge is explicitly generated and associated to the tabular and multi-dimensional HTML structures of documents. This semantic representation provides to the blind user an abstract representation of the layout of the document; the user is then allowed to issue commands from the domain-specific language to access and traverse the document according to its abstract layout.

Efficient generation of large amounts of training data for sign language recognition: a semi-automatic tool

We have developed a video hand segmentation tool which can help with generating hands ground truth from sign language image sequences. This tool may greatly facilitate research in the area of sign language recognition. In this tool, we offer a semi automatic scheme to assist with the localization of hand pixels, which is important for the purpose of recognition. A candidate hand generator is applied by using the mean shift image segmentation algorithm and a greedy seeds growing algorithm. After a number of hand candidates is generated, the user can reduce the candidates by simple mouse clicks. The tool also provides a hand tracking function for faster processing and a face detection function for groundtruthing non manual signals. In addition, we provided a two-passes groundtruthing scheme unlike other tools that only does one-pass. Our first pass processing is automatic and does not need user interaction. The experiment results demonstrate that based on the first passs result, one can groundtruth 10,000+ frames of sign language within 8 hours

Operating Systems of the 90s and Beyond

Reading is a hobby to open the knowledge windows. Besides, it can provide the inspiration and spirit to face this life. By this way, concomitant with the technology development, many companies serve the e-book or book in soft file. The system of this book of course will be much easier. No worry to forget bringing the operating systems of the 90s and beyond book. You can open the device and get the book by on-line.