RETRACTED ARTICLE: Human activity recognition with deep learning: overview, challenges and possibilities

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CCF Transactions on Pervasive Computing and Interaction (2021) 3:339 https://doi.org/10.1007/s42486-021-00063-5

SURVEY PAPER

RETRACTED ARTICLE: Human activity recognition with deep learning:

overview, challenges and possibilities

Pranjal Kumar

¹

· Siddhartha Chauhan

¹

Received: 6 January 2021 / Accepted: 27 March 2021 / Published online: 9 April 2021

The Editor-in-Chief has retracted this article because it sig- nificantly overlaps with a previously published preprint by different authors [1]. The authors agree to this retraction.

The online version of this article contains the full text of the retracted article as Supplementary Information.

Supplementary Information The online version of this article https://

doi. org/ 10. 1007/ s42486- 021- 00063-5 contains supplementary material, which is available to authorized users.

Reference

1. Kaixuan C, Dalin Z, Lina Y, Bin G, Zhiwen Y, Yunhao L (2020) Deep Learning for Sensor-based Human Activity Recognition:

Overview, Challenges and Opportunities. Computer Science arXiv: 2001. 07416 v1

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Pranjal Kumar is pursuing Ph.D., in Department of Computer Sci- ence & Engineering, NIT Hamirpur.

Siddhartha Chauhan joined NIT Hamirpur as Lecturer in CSE Department on 1997. Presently working as Associate Professor in CSE Department. Specializes in Sensor Networks, Ad hoc Net- work, QoS in Networks, Mobile Computing (Wireless Sensor Net- works), Microprocessor & Micro- controller Design.

* Pranjal Kumar pranjal@nith.ac.in Siddhartha Chauhan sid@nith.ac.in

1 Department of Computer Science & Engineering, National Institute of Technology Hamirpur, Hamirpur, Himachal Pradesh 177005, India