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System and method for human gait analysis

A gait, human technology, applied in image analysis, neural learning methods, character and pattern recognition, etc., can solve problems such as technical complexity

Pending Publication Date: 2021-07-23
LINDERA GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the setup of such tools is often technically complex

Method used

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  • System and method for human gait analysis
  • System and method for human gait analysis
  • System and method for human gait analysis

Examples

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Embodiment Construction

[0051] figure 1 A simplified block diagram of a computer system 100 for human gait analysis based on a video stream 202 obtained from a monocular camera device 201 according to an embodiment is included. will be shown in Figure 2*, image 3 and Figure 4* are described in the context of the flowchart figure 1 , shows a simplified flowchart with steps of a computer-implemented method for human gait analysis, according to various embodiments. Accordingly, the following description includes reference numerals in all of these figures.

[0052] The computer system 100 includes an interface 110 configured to obtain a video stream 202 provided by a monocular camera device 201 . This video stream can be obtained directly from the camera 201, wherein real-time analysis of individual gait parameters is intended to be performed from the real-time stream. This video stream can also be obtained from video memory 203 for off-line analysis of previously recorded video. Video stream 202...

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Abstract

The present invention relates to a computer-implemented method, a computer program product and a computer system (100) for human gait analysis. Via an interface (110) of the system, a video stream (202) is obtained from a monocular camera device (201). The video stream (202) includes a plurality of frames reflecting the walk of a human individual (10). A skeletal motion extractor (120) of the system extracts from the video stream a skeletal motion associated with the individual, by inferring, from the obtained video stream, three-dimensional gait information. The three- dimensional gait information includes the estimation of the individual's joint locations including at least the individual's foot locations on each frame, wherein the estimation is derived by matching for each frame two-dimensional coordinates of the respective frame with respective three-dimensional model information of the individual's body. A gait parameter determining module (130) of the system determines one or more gait parameters of the individual based on the individual's foot locations in local extrema frames showing local extrema of the distance between one foot location of the individual and a corresponding reference joint location.

Description

technical field [0001] The present invention relates generally to electronic data processing, and more particularly to methods, computer program products and systems for gait analysis, which can be used to assess the risk of falling (risk of a fall accident) of a human individual. Background technique [0002] As many older adults age, the risk of falls poses an increasing threat to their health. Often, medically trained personnel attempt to assess an individual patient's fall risk based on risk factors, such as those related to medications, the patient's psychological condition, and the environment in which they live. The Downton Fall Risk Index, the STRATIFY Fall Risk Assessment Tool, and the Hendrich Fall Risk Models I and II are well-known state-of-the-art tools for assessing fall risk. In such tools, first, the risk model contains a series of risk factors. For a particular patient, it is necessary to examine which risk factors are applicable. Finally, a patient's ove...

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/00G06T7/00G06T7/246G06T7/73
CPCA61B5/112A61B5/1128A61B5/7267G06T7/0016G06T7/251G06T7/75G06T2207/20084G06T2207/30196G16H50/70G16H50/50G16H50/30G16H50/20A61B5/7275G06N3/08G06T2207/10016G06T2207/20081G06V40/25G06V10/75
Inventor 赫尔穆特·H·皮特斯
Owner LINDERA GMBH
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