Sensor-Based Dataset for Knee Joint Mobility and Rehabilitation Monitoring During Climbing and Walking Activities with Extracted Features

The Sensor-Based Dataset for Knee Joint Mobility and Rehabilitation Monitoring includes four distinct files, each serving a specific role in analyzing knee function during movement. The Walking Data file holds raw sensor readings collected during regular and brisk walking, helping to assess gait characteristics and joint mobility. The Climbing Data captures sensor output from stair-climbing tasks, offering valuable insights into knee performance under increased physical effort.Data is collected from 150 persons for both the activities for the duration of 2 minutes. To improve model training, the Augmentation Data contains artificially varied versions of the original signals created through methods like time shifting and noise injection. Lastly, the Feature Extraction Data provides a structured collection of calculated metrics such as minimum value, maximum value,mean,variance,skewness and kurtosis, which are useful for evaluating movement patterns and supporting further analysis in rehabilitation contexts. Together, these files form a robust foundation for research and development in wearable health monitoring systems.