Skip to main content
Sensors (Basel, Switzerland) logoLink to Sensors (Basel, Switzerland)
. 2021 Jun 2;21(11):3841. doi: 10.3390/s21113841

Correction: Liu et al. Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM. Sensors 2019, 19, 3720

Chengyin Liu 1, Zhaoshuo Jiang 2,*, Xiangxiang Su 1, Samuel Benzoni 2, Alec Maxwell 2
PMCID: PMC8199528  PMID: 34199685

The authors wish to add one reference [1] to this paper [2].

On page 1, the original sentences are as follows: Progress toward new methods without cameras has been made through the use of accelerometer sensors mounted on the structure to capture floor vibration for human activities detection [13–15].

Correction to be: Progress toward new methods without cameras has been made through the use of accelerometer sensors mounted on the structure to capture floor vibration for human activities detection [13–16].

The sequential references originally in the paper (i.e., [16–47]) will shift by one (i.e., [17–48]).

The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Davis B.T. Ph.D. Dissertation. University of South Carolina; Columbia, SC, USA: 2016. [(accessed on 25 January 2019)]. Characterization of Human-Induced Vibrations. Available online: https://scholarcommons.sc.edu/etd/3770. [Google Scholar]
  • 2.Liu C., Jiang Z., Su X., Benzoni S., Maxwell A. Detection of human fall using floor vibration and multi-features semi-supervised SVM. Sensors. 2019;19:3720. doi: 10.3390/s19173720. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Sensors (Basel, Switzerland) are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES