TY  - JOUR
PY  - 2023//
TI  - A new kinematic dataset of lower limbs action for balance testing
JO  - Scientific data
A1  - Dong, Anqi
A1  - Wang, Fei
A1  - Shuai, ZhenYu
A1  - Zhang, Kaiyu
A1  - Qian, Dexing
A1  - Tian, Yinsheng
SP  - e209
EP  - e209
VL  - 10
IS  - 1
N2  - 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>
LA  - en
SN  - 2052-4463
UR  - http://dx.doi.org/10.1038/s41597-023-02105-2
ID  - ref1
ER  -