A Non-Laboratory Gait Dataset of Full Body Kinematics and Egocentric Vision.
A Non-Laboratory Gait Dataset of Full Body Kinematics and Egocentric Vision.
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DOI:
10.1038/s41597-023-01932-7
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发表时间:
2023-01-12
期刊:
影响因子:
9.8
通讯作者:
Rombokas, Eric
中科院分区:
文献类型:
--
作者:
Sharma, Abhishek;Rai, Vijeth;Calvert, Melissa;Dai, Zhongyi;Guo, Zhenghao;Boe, David;Rombokas, Eric
In this manuscript, we describe a unique dataset of human locomotion captured in a variety of out-of-the-laboratory environments captured using Inertial Measurement Unit (IMU) based wearable motion capture. The data contain full-body kinematics for walking, with and without stops, stair ambulation, obstacle course navigation, dynamic movements intended to test agility, and negotiating common obstacles in public spaces such as chairs. The dataset contains 24.2 total hours of movement data from a college student population with an approximately equal split of males to females. In addition, for one of the activities, we captured the egocentric field of view and gaze of the subjects using an eye tracker. Finally, we provide some examples of applications using the dataset and discuss how it might open possibilities for new studies in human gait analysis.
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DOI:
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发表时间:
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期刊:
Current biology : CB
影响因子:
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