‘StreamPoseML’ An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

Trajkova et al., (2024). 'StreamPoseML' An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning. Journal of Open Source Software, 9(104), 6392, https://doi.org/10.21105/joss.06392

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Publication Details

Journal
The Journal of Open Source Software
Published
2024-12-27
DOI
https://doi.org/10.21105/joss.06392
Citations
1
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.35

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article

‘StreamPoseML’ An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

Nathaniel Green, Minoru Shinohara, Milka Trajkova
1 citations
The Journal of Open Source Software
Anomaly Detection Techniques and Applications
0.35
article

‘StreamPoseML’ An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

Nathaniel Green, Minoru Shinohara, Milka Trajkova
article en
1 citations

Abstract

Trajkova et al., (2024). 'StreamPoseML' An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning. Journal of Open Source Software, 9(104), 6392, https://doi.org/10.21105/joss.06392

The Journal of Open Source SoftwareVol. 9(104)
Georgia Institute of Technology (US), The Wallace H. Coulter Department of Biomedical Engineering (US), Film Independent (US)
Georgia Institute of Technology, Emory University
Openalex Percentile: Top 30%
Anomaly Detection Techniques and Applications
0.35
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