A Research on a Pattern Language Processing system for Human-Machine Interface

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We have built a basic environment which supports smooth communication between human and computers by gesture. At first, we aimed to build a pattern language processing system which make it possible to give instructions to computers by the finger's language. The system recognizes shapes and motion of fingers in a video camera image and interprets instructions which the finger's language intends to express. We designed a high speed algorithm which extracts finger shape from an image, and built the system as an experiment. This experiment afforded an opportunity for a new method substitutes for the finger language i.e.a method using a stick. This method has an advantage such as high speed processing and easiness to indicate a position of a stick.We found that an interface using a stick is more useful than the finger language, and we built a prototype interface system. The prototype interface system extracts a stick from a video camera image, and obtains the estimated three-dimensional coo … More rdinate value in real time. Because it became clear that a stick was able to be used as a three-dimensional pointing device, we built a multi-modal interface combined with speech recognition to examine operability. Then we implemented the three-dimensional block world as a prototype application and evaluated it. As a result, we found that the multi-modal interface is easy to use for users.At the same time, we carried on researches to make it possible to use the finger language as a pattern language in the future. To solve a problem of occlusion which is a main problem when we recognize pattern languages such as a finger language by using image processing, we examined a method using multi video cameras complementarily. Because speech recognition is necessary for a multi-modal interface, we examined a configuration of a speech recognition system and developed a new method which extracts human voice form background noise. According to its evaluation, we have conclude that the speech recognition system is useful even in a noisy environment. Less