CIOMP OpenIR  > 中科院长春光机所知识产出
Sequential data feature selection for human motion recognition via Markov blanket
Zhou, H.; M. You; L. Liu and C. Zhuang
2017
Source PublicationPattern Recognition Letters
Volume86
AbstractHuman motion recognition is a hot topic in the field of human machine interface research, where human motion is often represented in time sequential sensor data. This paper investigates human motion recognition based on feature-selected sequential Kinect skeleton data. We extract features from the Cartesian coordinates of human body joints for machine learning and recognition. As there are errors associated with the sensor, in addition to other uncertain factors, human motion sequential sensor data usually includes some irrelative and error features. To improve the recognition rate, an effective method is to reduce the amount of irrelative and error features from original sequential data. Feature selection methods for static situations, such as photo images, are widely used. However, very few investigations in the literature discuss this with regards to sequential data models, such as HMM (Hidden Markov Model), CRF (Conditional Random Field), DBN (Dynamic Bayesian Network), and so on. Here, we propose a novel method which combines a Markov blanket with the wrapper method for sequential data feature selection. The proposed algorithm is assessed using four sets of open human motion data and two types of learners (HMM and DBN), and the results show that it yields better recognition accuracy than traditional methods and non-feature selection models. (C) 2016 Elsevier B.V. All rights reserved.
Indexed Bysci ; ei
Language英语
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/59492
Collection中科院长春光机所知识产出
Recommended Citation
GB/T 7714
Zhou, H.,M. You,L. Liu and C. Zhuang. Sequential data feature selection for human motion recognition via Markov blanket[J]. Pattern Recognition Letters,2017,86.
APA Zhou, H.,M. You,&L. Liu and C. Zhuang.(2017).Sequential data feature selection for human motion recognition via Markov blanket.Pattern Recognition Letters,86.
MLA Zhou, H.,et al."Sequential data feature selection for human motion recognition via Markov blanket".Pattern Recognition Letters 86(2017).
Files in This Item: Download All
File Name/Size DocType Version Access License
Sequential data feat(855KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou, H.]'s Articles
[M. You]'s Articles
[L. Liu and C. Zhuang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou, H.]'s Articles
[M. You]'s Articles
[L. Liu and C. Zhuang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou, H.]'s Articles
[M. You]'s Articles
[L. Liu and C. Zhuang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Sequential data feature selection.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.