利用计算机视觉提高步态检测的准确性

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI:10.1109/TENSYMP55890.2023.10223625

Sota Sugiyama, Yuna Ogiso, Masataka Yamamoto, Y. Ishige, H. Takemura, N. Aikawa

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引用次数: 0

摘要

使用计算机视觉进行步态分析比使用可穿戴设备或动作捕捉等更容易，更具成本效益。OpenPose是一种免费的骨骼检测算法，但骨骼检测的精度并不总是很高。因此，本文的步态周期来源于通用OpenPose获取的骨骼坐标数据。基于步态周期，提出了一种预测和校正骨骼坐标的方法。

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Improving the Accuracy of Gait Detection Using Computer Vision

Using computer vision for gait analysis is easier and more cost-effective to implement in the field than using wearable devices or motion capture, etc. OpenPose is one of the freely available skeletal detection algorithms, but the accuracy of skeletal detection is not always high. Therefore, in this paper, the gait cycle is derived from the skeletal coordinate data obtained by general OpenPose. Based on the gait cycle, we propose a method to predict the coordinates and correct the skeletal coordinates.

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2023 IEEE Region 10 Symposium (TENSYMP)

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