Improved pulse detection from head motions using DCT

@article{Irani2014ImprovedPD,
  title={Improved pulse detection from head motions using DCT},
  author={Ramin Irani and Kamal Nasrollahi and Thomas B. Moeslund},
  journal={2014 International Conference on Computer Vision Theory and Applications (VISAPP)},
  year={2014},
  volume={3},
  pages={118-124}
}
The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install some sensors on the body. In either case, there is a need for a physical contact between the sensor… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 30 CITATIONS

Contact-Free Heartbeat Signal for Human Identification and Forensics

  • Handbook of Biometrics for Forensic Science
  • 2017
VIEW 9 EXCERPTS
CITES BACKGROUND & METHODS

Computer-Vision-Guided Human Pulse Rate Estimation: A Review

  • IEEE Reviews in Biomedical Engineering
  • 2016
VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Estimating Heart Rate and Rhythm via 3D Motion Tracking in Depth Video

  • IEEE Transactions on Multimedia
  • 2017
VIEW 8 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

IMPROVED SCHEME FOR CLUSTER BASED FAULT TOLERANT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

T. Suriya Praba, Venkatesh Veeramuthu, R. D. Harshitha, T. Sethukarasi
  • 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Detecting Pulse from Head Motions in Video

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition
  • 2013

Feasibility of Imaging Photoplethysmography

  • 2008 International Conference on BioMedical Engineering and Informatics
  • 2008

Rapid object detection using a boosted cascade of simple features

  • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001