Classifying running speed conditions using a single wearable sensor: Optimal segmentation and feature extraction methods.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of biomechanics"
DOI: 10.1016/j.jbiomech.2018.01.034
Abstract: Accelerometers have been used to classify running patterns, but classification accuracy and computational load depends on signal segmentation and feature extraction. Stride-based segmentation relies on identifying gait events, a step avoided by using window-based segmentation.… read more here.
Keywords: computational load; feature; segmentation; classification accuracy ... See more keywords
Block segmentation in feature space for realtime object detection in high granularity images
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DOI: 10.1038/s41598-025-17888-0
Abstract: Computer vision has applications in object detection, image recognition and classification, and object tracking. One of the challenges of computer vision is the presence of useful information at multiple distance scales. Filtering techniques may sacrifice… read more here.
Keywords: feature space; block segmentation; object detection; segmentation feature ... See more keywords
Semantic segmentation feature fusion network based on transformer
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DOI: 10.1038/s41598-025-90518-x
Abstract: Convolutional neural networks have demonstrated efficacy in acquiring local features and spatial details; however, they struggle to obtain global information, which could potentially compromise the segmentation of important regions of an image. Transformer can increase… read more here.
Keywords: segmentation; feature fusion; transformer; semantic segmentation ... See more keywords