Adaptive Classification of Hand Movement
نویسندگان
چکیده
The Hand Sign Classification (HSC) system classifies hand movement data into Australian Sign Language (AUSLAN) signs. It is built as a fuzzy expert system with an adaptive engine that trains the system to handle variations in the movement data, or to adapt to differences amongst signers. Adaptive fuzzy systems are often compared with neural networks in their adaptability, but unlike neural networks, expert knowledge can be imposed onto the system in the form of rules.
منابع مشابه
Hand Movement Classification Using An Adaptive Fuzzy Expert System
Hand sign recognition, in general, may be divided into two stages: the motion sensing, which extracts useful movement data from the signer's motion; and the classification process, which classifies the movement data as a sign. We have developed a prototype of the Hand Sign Classification (HSC) system that classifies a series of the full degrees-of-freedom kinematic data of a hand into sign lang...
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