Next Article in Journal
Adaptive Accumulation of Plantar Pressure for Ambulatory Activity Recognition and Pedestrian Identification
Previous Article in Journal
Link-Correlation-Aware Opportunistic Routing in Low-Duty-Cycle Wireless Networks
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 21
Issue 11
10.3390/s21113841
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
Correction to Sensors 2019, 19(17), 3720.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

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

by
Chengyin Liu
1,
Zhaoshuo Jiang
2,*,
Xiangxiang Su
1,
Samuel Benzoni
2 and
Alec Maxwell
2
1
Department of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, China
2
School of Engineering, San Francisco State University, San Francisco, CA 94132, USA
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(11), 3841; https://doi.org/10.3390/s21113841
Submission received: 25 January 2021 / Accepted: 16 April 2021 / Published: 2 June 2021
Versions Notes
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.

References

  1. Davis, B.T. Characterization of Human-Induced Vibrations. Ph.D. Dissertation, University of South Carolina, Columbia, SC, USA, 2016. Available online: https://scholarcommons.sc.edu/etd/3770 (accessed on 25 January 2019).
  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. [Google Scholar] [CrossRef] [Green Version]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Liu, C.; Jiang, Z.; Su, X.; Benzoni, S.; Maxwell, A. Correction: Liu et al. Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM. Sensors 2019, 19, 3720. Sensors 2021, 21, 3841. https://doi.org/10.3390/s21113841

AMA Style

Liu C, Jiang Z, Su X, Benzoni S, Maxwell A. Correction: Liu et al. Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM. Sensors 2019, 19, 3720. Sensors. 2021; 21(11):3841. https://doi.org/10.3390/s21113841

Chicago/Turabian Style

Liu, Chengyin, Zhaoshuo Jiang, Xiangxiang Su, Samuel Benzoni, and Alec Maxwell. 2021. "Correction: Liu et al. Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM. Sensors 2019, 19, 3720" Sensors 21, no. 11: 3841. https://doi.org/10.3390/s21113841

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop