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...
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 |
Similar Items
-
Wiimote Gesture Recognition for a Traffic Control Robot
by: Heng-Jiun Li, et al.
Published: (2008) -
Development of a Wiimote-based Gesture Recognizer in a Microprocessor Laboratory Course
by: Alberto Lorente Leal, et al.
Published: (2011-03-01) -
Hand Static Gesture Recognition Using HMM Based on Curvature Gradient of Occluding Contour
by: Nasibeh Alijanpour Shalmani, et al.
Published: (2012-04-01) -
HMM-Based Speaker Recognition
by: Wei, Jen-Der, et al.
Published: (1998) -
FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition
by: Guang Chen, et al.
Published: (2019-02-01)