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This paper presents a recognition system for understanding the words of home-service-related sign language. Because the data received from a sensor are sequential, the hidden Markov model (HMM) that has been successfully applied to speech signals is chosen as a classifier. However, the number of states in the HMM model should be decided upon first before constructing the HMM classifier. To solve this...
An integrated autonomous target acquisition system using a passive sensor suite is presented in this paper. The system configuration and various functional subsystems are described. The emphasis of the paper is placed on the fusion of heterogeneous sensor data which are asynchronous based upon Dempster-Shafer's rule of combination. Preliminary results of target feature analysis, clustering, and classification...
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