Automatic Human Target Detection and Remote Respiratory Rate Monitoring

doi:10.1109/BigMM.2016.79

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Lin, Kuan-Yi	en_US
dc.contributor.author	Chen, Duan-Yu	en_US
dc.contributor.author	Yang, Chen	en_US
dc.contributor.author	Chen, Kuo-Jui	en_US
dc.contributor.author	Tsai, Wen-Jiin	en_US
dc.date.accessioned	2017-04-21T06:48:59Z	-
dc.date.available	2017-04-21T06:48:59Z	-
dc.date.issued	2016	en_US
dc.identifier.isbn	978-1-5090-2179-6	en_US
dc.identifier.uri	http://dx.doi.org/10.1109/BigMM.2016.79	en_US
dc.identifier.uri	http://hdl.handle.net/11536/136372	-
dc.description.abstract	Contact measurements of the respiratory rate by using whether conventional electrocardiogram (ECG) equipment or gas sensors with chest straps would cause inconvenience for patients. Therefore, a novel image-based non-contact technique is developed for respiratory rate evaluation and human target detection based on image depth information is also proposed to achieve automatic human target searching and respiration monitoring.	en_US
dc.language.iso	en_US	en_US
dc.subject	respiration rate	en_US
dc.subject	human detection	en_US
dc.subject	depth image	en_US
dc.title	Automatic Human Target Detection and Remote Respiratory Rate Monitoring	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.doi	10.1109/BigMM.2016.79	en_US
dc.identifier.journal	2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM)	en_US
dc.citation.spage	354	en_US
dc.citation.epage	356	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:000389610000061	en_US
dc.citation.woscount	0	en_US
顯示於類別：	會議論文