2016 IEEE Second International Conference on Multimedia Big Data (BigMM) (2016)
April 20, 2016 to April 22, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BigMM.2016.79
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.
Head, Optical filters, Real-time systems, Monitoring, Cameras, Image motion analysis, Computer vision
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.