Gesture Recognition using HMM-based Fundamental Motion Synthesis with Implementation on a Wiimote

碩士 === 長庚大學 === 資訊工程學系 === 99 === In this paper, we use the Nintendo Wiimote tri-axial accelerometer as an input device to make a gesture recognition system when using the Hidden Markov Model (HMM) as the recognition algorithm. We use a set of basic movements called “Fundamental Motions” as the synt...

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Bibliographic Details
Main Authors: Wei Cheng Chen, 陳韋誠
Other Authors: R. Y. Lyu
Format: Others
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/18269101288733000450

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