Virginia Tech Natural Motion Dataset

The Virginia Tech Natural Motion Dataset contains 40 hours of unscripted human motion (full body kinematics) collected in the open world using an XSens MVN Link system. In total, there are data from 17 participants (13 participants on a college campus and 4 at a home improvement store). Participants did a wide variety of activities, including: walking from one place to another; operating machinery; talking with others; manipulating objects; working at a desk; driving; eating; pushing/pulling carts and dollies; physical exercises such as jumping jacks, jogging, and pushups; sweeping; vacuuming; and emptying a dishwasher. The code for analyzing the data is freely available with this dataset and also at: https://github.com/ARLab-VT/VT-Natural-Motion-Processing. The portion of the dataset involving workers was funded by Lowe's, Inc.

该弗吉尼亚理工大学自然运动数据集收录了40小时未经编排的人类运动（全身运动学）数据，这些数据是在开放世界中利用XSens MVN Link系统采集的。总计包含17位参与者的数据（其中13位在大学校园内，4位在家居建材商店），参与者在多种活动中进行运动，包括：从一个地方走到另一个地方；操作机械；与他人交谈；操控物体；在办公桌前工作；驾驶；进食；推动/拉动手推车和婴儿车；进行诸如俯卧撑、慢跑和引体向上等身体锻炼；扫地；吸尘；以及清空洗碗机。本数据集附带用于分析数据的代码，且可在以下链接处免费获取：https://github.com/ARLab-VT/VT-Natural-Motion-Processing。涉及工人部分的数据收集由Lowes, Inc.公司资助。