干旱区生态环境知识资源中心(Arid): A hybrid egocentric video summarization method to improve the healthcare for Alzheimer patients

Arid

DOI	10.1007/s12652-019-01444-6
	A hybrid egocentric video summarization method to improve the healthcare for Alzheimer patients
	Sultan, Saba 1; Javed, Ali 1; Irtaza, Aun 2; Dawood, Hassan 1; Dawood, Hussain 3; Bashir, Ali Kashif 4
通讯作者	Javed, Ali
来源期刊	JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
ISSN	1868-5137
EISSN	1868-5145
出版年	2019
卷号	10 期号:10 页码:4197-4206
英文摘要	Alzheimer patients face difficulty to remember the identity of persons and performing daily life activities. This paper presents a hybrid method to generate the egocentric video summary of important people, objects and medicines to facilitate the Alzheimer patients to recall their deserted memories. Lifelogging video data analysis is used to recall the human memory; however, the massive amount of lifelogging data makes it a challenging task to select the most relevant content to educate the Alzheimer's patient. To address the challenges associated with massive lifelogging content, static video summarization approach is applied to select the key-frames that are more relevant in the context of recalling the deserted memories of the Alzheimer patients. This paper consists of three main modules that are face, object, and medicine recognition. Histogram of oriented gradient features are used to train the multi-class SVM for face recognition. SURF descriptors are employed to extract the features from the input video frames that are then used to find the corresponding points between the objects in the input video and the reference objects stored in the database. Morphological operators are applied followed by the optical character recognition to recognize and tag the medicines for Alzheimer patients. The performance of the proposed system is evaluated on 18 real-world homemade videos. Experimental results signify the effectiveness of the proposed system in terms of providing the most relevant content to enhance the memory of Alzheimer patients.
英文关键词	Alzheimer Education Egocentric data Healthcare Video summarization
类型	Article
语种	英语
国家	Pakistan ; Saudi Arabia ; England
开放获取类型	Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000487047400034
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Telecommunications
WOS研究方向	Computer Science ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216651
作者单位	1.Univ Engn & Technol, Software Engn Dept, Taxila, Pakistan; 2.Univ Engn & Technol, Comp Sci Dept, Taxila, Pakistan; 3.Univ Jeddah, Coll Comp Sci & Engn, Dept Network & Comp Engn, Jeddah 23890, Saudi Arabia; 4.Manchester Metropolitan Univ, Dept Comp & Math, Manchester, Lancs, England
推荐引用方式 GB/T 7714	Sultan, Saba,Javed, Ali,Irtaza, Aun,et al. A hybrid egocentric video summarization method to improve the healthcare for Alzheimer patients[J],2019,10(10):4197-4206.
APA	Sultan, Saba,Javed, Ali,Irtaza, Aun,Dawood, Hassan,Dawood, Hussain,&Bashir, Ali Kashif.(2019).A hybrid egocentric video summarization method to improve the healthcare for Alzheimer patients.JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,10(10),4197-4206.
MLA	Sultan, Saba,et al."A hybrid egocentric video summarization method to improve the healthcare for Alzheimer patients".JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 10.10(2019):4197-4206.