HuGaDB

该数据集旨在促进步态分析和识别的研究，包含了来自不同行走能力和在不同条件下个体的步态数据。数据收集过程中使用了多种传感器，包括力板、惯性测量单元和肌电图传感器。该数据集涵盖了12种不同的步态动作，并对其各个阶段进行了标签分类，其任务是对人类活动进行识别。

This dataset is developed to facilitate research in gait analysis and recognition. It comprises gait data from individuals with diverse walking capabilities and under various conditions. Multiple types of sensors were employed during data collection, including force plates, inertial measurement units (IMUs), and electromyography (EMG) sensors. This dataset covers 12 distinct gait movements, with their respective phases labeled and categorized, targeting the task of human activity recognition.

搜集汇总

背景与挑战

背景概述

HuGaDB是一个用于步态分析和识别的数据集，包含多传感器采集的不同行走能力和条件下的步态数据，涵盖12种步态动作并带有阶段标签，适用于人类活动识别研究。