Dataset related to Lower limb movement in 10 Meter Walk Test

This dataset captures detailed lower limb movement data during a 10-meter walk test, which is useful for gait and mobility analysis. The data is collected using two tilebox sensors, strategically positioned to capture a comprehensive set of motion parameters.

Each sensor records the following types of data:

Accelerometer Data: Measures linear acceleration, providing insights into the speed and direction of leg movements.
Gyroscope Data: Captures angular velocity, aiding in the analysis of limb rotation and stability during walking.
Magnetometer Data: Records magnetic field data, useful for determining the orientation and heading of the sensors relative to the Earth's magnetic field.
Temperature Data: Monitors ambient or sensor temperature, which can impact sensor performance or provide environmental context.

The dataset also includes a YAML file containing demographic and lifestyle information for each participant, which provides critical context for data interpretation. The YAML file details include:

Demographic Information: Gender, age, weight, height.
Physical Activity: Frequency, duration, and type of exercise (e.g., walking).
Diet and Nutrition: Dietary habits, portions of fruits or vegetables consumed, daily water intake.
Health Status: Presence of health pathologies (e.g., motor-related issues), smoking status, and current physical state.
Sleep and Energy Levels: Average hours of sleep and perceived energy levels.
Motivation and Participation: Interest in participating in the study.
Mobility Aids: Use of walking aids, if applicable.

本数据集收录了10米步行测试过程中的下肢精细运动数据，可用于步态与运动能力分析。数据采用两台经合理布设的tilebox传感器采集，能够全面捕捉各类运动参数。

每台传感器可记录以下类型的数据：
加速度计（Accelerometer）数据：用于测量线性加速度，可揭示腿部运动的速度与方向信息。
陀螺仪（Gyroscope）数据：用于捕捉角速度，助力分析步行过程中肢体的旋转状态与稳定性。
磁力计（Magnetometer）数据：记录磁场数据，可用于确定传感器相对于地球磁场的方位与航向。
温度数据：用于监测环境或传感器自身温度，既可辅助评估传感器性能，也可提供环境背景信息。

本数据集还包含一份YAML文件，收录了每位受试者的人口统计学与生活方式信息，为数据解读提供关键背景。该YAML文件的详细内容包括：
人口统计学信息：性别、年龄、体重、身高。
身体活动情况：锻炼的频率、时长与类型（例如步行）。
饮食与营养状况：饮食习惯、每日果蔬摄入量、每日饮水量。
健康状态：是否存在健康异常（例如运动相关病症）、吸烟情况与当前身体状况。
睡眠与精力水平：平均每日睡眠时间与主观感知的精力状态。
参与意愿：受试者对本研究的参与兴趣。
助行器具使用情况：若适用则记录是否使用助行工具。