Hybrid InceptionV3-SVM-Based Approach for Human Posture Detection in Health Monitoring Systems

Roseline Oluwaseun Ogundokun, Rytis Maskeliūnas, Sanjay Misra, Robertas Damasevicius

Open source

DOI: 10.3390/a15110410
Published: 2022-11-04
Container: Algorithms
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/a15110410,
  title = {Hybrid InceptionV3-SVM-Based Approach for Human Posture Detection in Health Monitoring Systems},
  author = {Roseline Oluwaseun Ogundokun and Rytis Maskeliūnas and Sanjay Misra and Robertas Damasevicius},
  year = {2022},
  journal = {Algorithms},
  doi = {10.3390/a15110410},
  url = {https://doi.org/10.3390/a15110410}
}

RIS

TY  - JOUR
TI  - Hybrid InceptionV3-SVM-Based Approach for Human Posture Detection in Health Monitoring Systems
AU  - Roseline Oluwaseun Ogundokun
AU  - Rytis Maskeliūnas
AU  - Sanjay Misra
AU  - Robertas Damasevicius
PY  - 2022
JO  - Algorithms
DO  - 10.3390/a15110410
UR  - https://doi.org/10.3390/a15110410
ER  -

APA

Ogundokun, R. O., Maskeliūnas, R., Misra, S., & Damasevicius, R. (2022). Hybrid InceptionV3-SVM-Based Approach for Human Posture Detection in Health Monitoring Systems. Algorithms. https://doi.org/10.3390/a15110410

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crossref · retrieved 2026-09-25T00:29:28.381Z