Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series

Research article (Mathematical Biosciences & Engineering, 2020) · cited 11× · AI/ML
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Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series

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Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-classification-of-normal-slow-and-fast-walking-by-extracting-multimodal-features-from-stride-inte
MLA “Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-classification-of-normal-slow-and-fast-walking-by-extracting-multimodal-features-from-stride-inte.
BibTeX @misc{4ortxyz_machine-learning-based-classification-of-normal-slow-and-fast-walking-by-extracting-multimodal-features-from-stride-inte_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-classification-of-normal-slow-and-fast-walking-by-extracting-multimodal-features-from-stride-inte}, note = {Accessed: 2026-05-24}}
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