Dataset related to Lower limb movement in 10 Meter Walk Test
Description
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.