Incorrect Affiliation
In the published article, there was an error regarding the affiliation for Ole J. Mengshoel. Instead of being affiliated with “Department of ECE, Carnegie Mellon University, Pittsburgh, PA, United States”, they should be affiliated with “Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.”
Incorrect Correspondence
In the published article, there was an error in the correspondence. The correct corresponding author is “Ole J. Mengshoel” instead of “Harideep Nair.”
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
human activity recognition, deep belief networks, semantic mid-level features, ubiquitous computing, multimodal sensing, artificial intelligence, internet of things
Citation
Venkatachalam S, Nair H, Zeng M, Tan CS, Mengshoel OJ and Shen JP (2023) Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks. Front. Big Data 6:1170820. doi: 10.3389/fdata.2023.1170820
Received
21 February 2023
Accepted
23 February 2023
Published
10 March 2023
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
6 - 2023
Updates
Copyright
© 2023 Venkatachalam, Nair, Zeng, Tan, Mengshoel and Shen.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ole J. Mengshoel ole.j.mengshoel@ntnu.no
This article was submitted to Data Science, a section of the journal Frontiers in Big Data
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.