Semi-supervised animal action segmentation: HuGaDB

The Human Gait Database (HuGaDB) is a publicly available action segmentation dataset that contains lower limb activities such as walking, running, and sitting for a total of 18 subjects (Chereshnev et al. 2017, AIST). HuGaDB measured movements from six inertial measurement units (IMUs) with a 60 Hz sampling frequency. The IMUs were placed on each individual’s right and left feet, shins, and thighs. Each inertial sensor tracks the acceleration data and gyroscope data on each of the three x,y,z axes. We consider eight behavioral categories: walking, running, going up, going down, sitting, sitting down, standing up, and standing. The original dataset contained four additional behaviors that we excluded from our analysis. Two of those behaviors, “bicycling” and “sitting in car,” were not present in the publicly available dataset. The IMU data for the classes “up by elevator” and “down by elevator” did not seem to contain measurable variability.The dataset contains 517k frames, all of which are labeled.

人步态数据库（Human Gait Database，简称HuGaDB）是一款公开可获取的动作分割数据集，涵盖步行、跑步、坐姿等下肢活动类数据，共包含18名受试者的相关记录（Chereshnev等人，2017年，AIST）。该数据集通过6个惯性测量单元（Inertial Measurement Unit，缩写IMU）采集运动数据，采样频率为60Hz。这些惯性测量单元被安装在每名受试者的左右足部、小腿及大腿部位。每个惯性传感器可采集x、y、z三个轴向的加速度数据与陀螺仪数据。本次研究设定了8类行为类别：步行、跑步、上行、下行、坐姿、坐下、站起以及站立。原始数据集额外包含4类行为，但我们在本次分析中对其予以剔除。其中两类行为——“骑行”与“车内坐姿”——并未出现在当前的公开数据集当中。而“乘电梯上行”与“乘电梯下行”两类对应的惯性测量单元数据，似乎不存在可被测量的变异性。该数据集共包含51.7万个标注帧，所有数据均带有标注。