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2016 IEEE Second International Conference on Multimedia Big Data (BigMM) (2016)
Taipei, Taiwan
April 20, 2016 to April 22, 2016
ISBN: 978-1-5090-2180-2
pp: 354-356
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.
INDEX TERMS
Head, Optical filters, Real-time systems, Monitoring, Cameras, Image motion analysis, Computer vision
CITATION

K. Lin, D. Chen, C. Yang, K. Chen and W. Tsai, "Automatic Human Target Detection and Remote Respiratory Rate Monitoring," 2016 IEEE Second International Conference on Multimedia Big Data (BigMM)(BIGMM), Taipei, Taiwan, 2016, pp. 354-356.
doi:10.1109/BigMM.2016.79
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