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A smartphone-based human activities recognition using novel multi-stream movelets on fusion of accelerometer and gyroscope data and classification using different distance metrics

Crossref DOI link: https://doi.org/10.1007/s11042-024-20352-2

Published Online: 2024-10-21

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Tokas, Pratibha https://orcid.org/0000-0002-9196-2277
Semwal, Vijay Bhaskar

Jain, Sweta
Funding

Funding for this research was provided by:

SERB, DST (ECR/2018/000203)

HIGHER EDUCATION FINANCING AGENCY (SAN/CSR/08/2021-22)
License Information

Text and Data Mining valid from 2024-10-21

Version of Record valid from 2024-10-21
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Article History

Received: 16 September 2022

Revised: 1 August 2023

Accepted: 1 October 2024

First Online: 21 October 2024

Declarations

:

: The author(s) proclaim no conflict of interest regarding this research paper with any person or organization. This manuscript is based on original research findings done by the authors themselves.

: All the ethical issues have been taken care of while writing the manuscript and we have complied with all the standards to the best of our knowledge.

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