Fuzzy logic and neural network handbook
Fuzzy logic and neural network handbook
An implementation of KSSL recognizer for HCI based on post wearable PC and wireless networks
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Hand gesture recognition system using fuzzy algorithm and RDBMS for post PC
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
A framework for rapid multimodal application design
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
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The traditional fusion methods of multiple sensing modalities are summarized with 1) data-level fusion, 2) feature-level fusion and 3) decision-level fusion. This paper suggests the decision-level fusion-oriented novel fusion and fission framework, and it implements WPS (Wearable Personal Station) and Voice-XML-Based Multi-Modal Fusion Agent (hereinafter, MMFA) using audio-gesture modalities. Because the MMFA provides different weight and a feed-back function in individual recognizer, according to SNNR(Signal Plus Noise to Noise Ratio) and fuzzy value, it may select an optimal instruction processing interface under a given situation or noisy environment, and can allow more interactive communication functions in noisy environment. In addition, the MMFA provides a wider range of personalized information more effectively as well as it not need complicated mathematical algorithm and computation costs that are concerned with multidimensional features and patterns (data) size, according as it use a WPS and distributed computing-based database and SQL-logic, for synchronization and fusion between modalities.