@article{ref1,
title="A new kinematic dataset of lower limbs action for balance testing",
journal="Scientific data",
year="2023",
author="Dong, Anqi and Wang, Fei and Shuai, ZhenYu and Zhang, Kaiyu and Qian, Dexing and Tian, Yinsheng",
volume="10",
number="1",
pages="e209-e209",
abstract="Balance is a common performance but nevertheless an essential part of performance analysis investigations in ski. Many skier pay attention to the training of balance ability in training. Inertial Measurement Unit, as a kind of Multiplex-type human motion capture system, is widely used because of its humanized human-computer interaction design, low energy consumption and more freedom provided by the environment. The purpose of this research is to use sensor to establish a kinematics dataset of balance test tasks extracted from skis to help quantify skier' balance ability. Perception Neuron Studio motion capture device is used in present. The dataset contains a total of 20 participants' data (half male) of the motion and sensor data, which is collected at a 100 Hz sampling frequency. To our knowledge, this dataset is the only one that uses a BOSU ball in the balance test. We hope that this dataset will contribute to multiple fields of cross-technology integration in physical training and functional testing, including big-data analysis, sports equipment design and sports biomechanical analysis.<p /> <p>Language: en</p>",
language="en",
issn="2052-4463",
doi="10.1038/s41597-023-02105-2",
url="http://dx.doi.org/10.1038/s41597-023-02105-2"
}