Automatic human target detection and remote respiratory rate monitoring

Kuan Yi Lin, Duan Yu Chen, Chen Yang, Kuo Jui Chen, W. J. Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-356
Number of pages3
ISBN (Electronic)9781509021789
DOIs
StatePublished - 16 Aug 2016
Event2nd IEEE International Conference on Multimedia Big Data, BigMM 2016 - Taipei, Taiwan
Duration: 20 Apr 201622 Apr 2016

Publication series

NameProceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016

Conference

Conference2nd IEEE International Conference on Multimedia Big Data, BigMM 2016
CountryTaiwan
CityTaipei
Period20/04/1622/04/16

Keywords

  • Depth image
  • Human detection
  • Respiration rate

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