Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition
- DOI
- 10.1109/ojim.2023.3301861
- Published
- 2023
- Container
- IEEE Open Journal of Instrumentation and Measurement
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/ojim.2023.3301861,
title = {Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition},
author = {Neelakandan Mani and Prathap Haridoss and Boby George},
year = {2023},
journal = {IEEE Open Journal of Instrumentation and Measurement},
doi = {10.1109/ojim.2023.3301861},
url = {https://doi.org/10.1109/ojim.2023.3301861}
}RIS
TY - JOUR TI - Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition AU - Neelakandan Mani AU - Prathap Haridoss AU - Boby George PY - 2023 JO - IEEE Open Journal of Instrumentation and Measurement DO - 10.1109/ojim.2023.3301861 UR - https://doi.org/10.1109/ojim.2023.3301861 ER -
APA
Mani, N., Haridoss, P., & George, B. (2023). Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition. IEEE Open Journal of Instrumentation and Measurement. https://doi.org/10.1109/ojim.2023.3301861
Source records
- crossref · retrieved 2026-09-25T13:51:16.308Z