An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification

Research article (2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2017) · cited 12× · AI/ML
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An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification

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An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimized-low-computational-algorithm-for-human-fall-detection-from-depth-images-based-on-support-vector-machine-clas
MLA “An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimized-low-computational-algorithm-for-human-fall-detection-from-depth-images-based-on-support-vector-machine-clas.
BibTeX @misc{4ortxyz_an-optimized-low-computational-algorithm-for-human-fall-detection-from-depth-images-based-on-support-vector-machine-clas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimized low computational algorithm for human fall detection from depth images based on Support Vector Machine classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimized-low-computational-algorithm-for-human-fall-detection-from-depth-images-based-on-support-vector-machine-clas}, note = {Accessed: 2026-05-24}}
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