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
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In this paper, we suggest an improved weight decision rule depending on SNNR (Signal Plus Noise to Noise Ratio) and fuzzy value for simultaneous multi-modality including a synchronization between audio-gesture modalities. In order to insure the validity of the suggested weight decision rule, we implement a wireless PDA-based Multi-Modal Fusion Architecture (hereinafter, MMFA) by coupling embedded speech and KSSL recognizer, which fuses and recognizes 130 word-based instruction models that are represented by speech and KSSL (Korean Standard Sign Language), and then translates recognition result into synthetic speech (TTS) and visual illustration in real-time. In the experimental results, the average recognition rate of the MMFA fusing 2 sensory channels based on wireless PDA was 96.54% in clean environments (e.g. office space), and 93.21% in noisy environments, with the 130 word-based instruction models.