Magni Human Motion Dataset

Magni Human Motion Dataset是由瑞典厄勒布鲁大学创建的高质量人类运动轨迹数据集。该数据集包含30名参与者在4天内产生的超过160分钟的运动数据，涵盖了600多条个体和群体轨迹。数据集通过运动捕捉系统、眼动追踪器和机器人传感器收集，提供了丰富的语义信息，如单向通道和警示区域标记。创建过程中，参与者在自然和有目的的方式下导航，通过随机分配的目标任务来模拟自然行为。该数据集主要用于研究人类运动预测、避障、动态地图和人与机器人交互，旨在解决复杂环境中的运动建模和预测问题。

Magni Human Motion Dataset is a high-quality human motion trajectory dataset created by Örebro University in Sweden. It contains over 160 minutes of motion data generated by 30 participants over 4 days, covering more than 600 individual and group trajectories. The dataset is collected via motion capture systems, eye trackers and robotic sensors, and provides rich semantic information such as one-way lanes and warning area markers. During the dataset creation process, participants navigated in natural and purposeful manners, simulating natural behaviors through randomly assigned target tasks. This dataset is primarily used for research on human motion prediction, obstacle avoidance, dynamic mapping and human-robot interaction, aiming to address motion modeling and prediction issues in complex environments.