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学科主题临床医学
Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients
Li, Jing1; Zhen, Xiantong2; Liu, Xianzeng3,4; Ouyang, Gaoxiang5,6,7
刊名SCIENTIFIC WORLD JOURNAL
2014
DOI10.1155/2014/459636
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Multidisciplinary Sciences
研究领域[WOS]Science & Technology - Other Topics
关键词[WOS]ROBOT INTERACTION ; ABSENCE SEIZURES ; CLASSIFICATION ; PREDICTION ; ATTENTION ; NETWORKS ; SCENE ; ILAE
英文摘要

Based on video recordings of the movement of the patients with epilepsy, this paper proposed a human action recognition scheme to detect distinct motion patterns and to distinguish the normal status from the abnormal status of epileptic patients. The scheme first extracts local features and holistic features, which are complementary to each other. Afterwards, a support vector machine is applied to classification. Based on the experimental results, this scheme obtains a satisfactory classification result and provides a fundamental analysis towards the human-robot interaction with socially assistive robots in caring the patients with epilepsy (or other patients with brain disorders) in order to protect them from injury.

语种英语
WOS记录号WOS:000334850400001
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/56992
专题北京大学第二临床医学院_神经内科
作者单位1.Nanchang Univ, Sch Informat Engn, Dept Elect & Automat Engn, Nanchang 330031, Peoples R China
2.Univ Western Ontario, Dept Med Biophys, London, ON N6A 4V2, Canada
3.Peking Univ Peoples Hosp, Comprehens Epilepsy Ctr, Dept Neurol, Beijing 100044, Peoples R China
4.Peking Univ Peoples Hosp, Dept Neurosurg, Beijing 100044, Peoples R China
5.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
6.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China
7.Beijing Normal Univ, Ctr Collaborat & Innovat Brain & Learning Sci, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Li, Jing,Zhen, Xiantong,Liu, Xianzeng,et al. Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients[J]. SCIENTIFIC WORLD JOURNAL,2014.
APA Li, Jing,Zhen, Xiantong,Liu, Xianzeng,&Ouyang, Gaoxiang.(2014).Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients.SCIENTIFIC WORLD JOURNAL.
MLA Li, Jing,et al."Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients".SCIENTIFIC WORLD JOURNAL (2014).
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