A New Kinematic Dataset of Lower Limbs Action for balance testing

Balance is an essential factor in skiing training. Therefore, we aim to establish a kinematics dataset of balance test actions extracted from skiers to help quantifying a skier’s balance ability. Perception Neuron Studio (PNS) motion capture device is used in present. The dataset contains a total of 20 subjects’ data (10 male) of the parsed rotation and sensor node, which is collected at a 100 Hz sampling frequency. After analysis, 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, computer vision, and sports biomechanical analysis.

平衡能力是滑雪训练的关键影响因素。为此，本研究旨在构建一套源自滑雪者的平衡测试动作运动学数据集，以实现对滑雪者平衡能力的量化评估。本研究采用Perception Neuron Studio（PNS）动作捕捉设备开展数据采集工作，该数据集共包含20名受试者（其中男性10名）的解析旋转数据与传感器节点采集数据，采样频率为100赫兹。经分析验证后，本数据集有望为体能训练与功能测试领域的多技术交叉融合提供助力，覆盖大数据分析、运动装备设计、计算机视觉以及运动生物力学分析等多个应用方向。