Korea Institute Spatiotemporal Gait Analysis System Patent Application
Summary
Korea Institute of Science and Technology has filed a patent application (US20260108179A1) for an apparatus and method predicting spatiotemporal gait factors using multiple deep learning models that extract image, temporal, and spatial features from real-time video frames. The system inputs gait images into a first model for feature extraction, a second model for temporal patterns, a third model for spatial features, and a fourth model generating probability distributions of gait events to predict temporal and spatial gait factors. The application was filed on October 21, 2025, and published on April 23, 2026.
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What changed
The USPTO has published a patent application from Korea Institute of Science and Technology covering an apparatus and method for predicting spatiotemporal gait factors. The invention uses a cascaded multi-model architecture where processors extract image features from real-time video frames of a subject's gait, process temporal features for gait event probability distributions, and extract spatial features to predict both temporal and spatial gait factors. CPC classifications indicate applications in gait measurement (A61B 5/112), computer vision (G06V 10/62, G06V 10/7715, G06V 40/25), and health informatics (G16H 50/20). Patent applicants and researchers in gait analysis, rehabilitation technology, and health monitoring systems should review the disclosed methodology for potential prior art considerations or licensing opportunities.
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Apr 24, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
APPARATUS AND METHOD FOR EXPECTING SPATIOTEMPORAL GAIT FACTOR
Application US20260108179A1 Kind: A1 Apr 23, 2026
Assignee
KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventors
Kyung-Ryoul MUN, Jinwook KIM, Ankhzaya JAMSRANDORJ, Youn Jin CHUNG, Dawoon JUNG
Abstract
The apparatus for expecting spatiotemporal gait factor according to an embodiment includes one or more processors; and a memory storing an instruction performed by the processors, in which the processors are configured to input one or more real-time image frames, in which a gait of a subject is captured, to a first model to extract image features of the real-time image frames, input the image features to a second model to extract temporal features of the real-time image frames, input the image features and the temporal features to a third model to extract spatial features of the real-time image frames, input the temporal features to a fourth model to output a probability distribution of gait events, predict a temporal factor of the gait based on the probability distribution of the gait events, and predict a spatial factor of the gait based on the spatial features.
CPC Classifications
A61B 5/112 G06V 10/62 G06V 10/7715 G06V 40/25 G16H 50/20
Filing Date
2025-10-21
Application No.
19363798
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