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
An implementation of an FPGA-based embedded gesture recognizer using a data glove
Proceedings of the 2nd international conference on Ubiquitous information management and communication
An Improved Weight Decision Rule Using SNNR and Fuzzy Value for Multi-modal HCI
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Fusion and fission: improved MMIA for multi-modal HCI based on WPS and voice-XML
ICOST'07 Proceedings of the 5th international conference on Smart homes and health telematics
Toward a novel multi-modal HCI: fusion architecture using confidence score and fuzzy value
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
SNNR-based improved multi-modal fusion and fission using fuzzy value based on WPS and web
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
WPS and voice-xml-based multi-modal fusion agent using SNNR and fuzzy value
NBiS'07 Proceedings of the 1st international conference on Network-based information systems
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A traditional study on recognition and representation of sign language based on the desktop PC have general restrictions conditionality in space and limitation of motion according to the technology of wire communication, and then the vision technology-based traditional sign langage recognition systems, recognition performance has the possibility of change and diversity according to the performance of the camera, change of background (colors) and illumination condition. To overcome these restrictions and problems, we implement embedded-sentential the Korean Standard Sign Language (hereinafter, KSSL) recognizer based on the post wearable PC for mobile and ubiquitous computing. The KSSL is a dialog system and interactive elements in the South Korea deaf communities. The advantages of our approach are as follows: 1) it improves efficiency of the KSSL input module according to the technology of wireless communication and user need not be constrained by the limitations of a particular interaction mode at any given moment, 2) it recognizes and represents continuous the KSSL of users with flexibility in real time and can offer to user a wider range of personalized and differentiated information more effectively, and 3) it is possible more effective and free interchange of ideas and information between deaf person and hearing person (the public). Experimental result shows an average recognition rate of 93.3% for the KSSL sentences and 96.9% for the KSSL words with significant, dynamic and continuous the KSSL.