HMM with improved feature extraction-based feature parameters for identity recognition of gesture command operators by using a sensed Kinect-data stream-Reference-Cited by-同舟云学术

HMM with improved feature extraction-based feature parameters for identity recognition of gesture command operators by using a sensed Kinect-data stream

Published:2017-11 Issue: Volume:262 Page:108-119
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ding Ing-Jr,Chang Yu-Jui

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. On the use of kinect sensors to design a sport instructor robot for rehabilitation and exercise training of the elderly;Ding;Sens. Mater.,2016

2. Microsoft kinect sensor and its effect;Zhang;IEEE Multimed.,2012

3. Kinect development kit: a toolkit for gesture- and speech based human–machine interaction;Tashev;IEEE Signal Process. Mag.,2013

4. An eigenspace-based method with a user adaptation scheme for human gesture recognition by using kinect 3D data;Ding;Appl. Math. Model.,2015

5. Feature design scheme for kinect-based DTW human gesture recognition;Ding;Multimed. Tools Appl.,2016

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