About Dataset

This dataset provides detailed information on movement biomechanics and injury risk factors in the context of physical education. It contains data for 1000 subjects, focusing on various movement patterns such as squats, lunges, and jumps. The data is structured to help identify key biomechanical indicators that contribute to injury prevention in physical activities.

Key Features:

Subject Information: Age, Gender, Height, Weight, and Fitness Level of the subjects.
Movement Data: Type of movement (e.g., Squat, Lunge, Jump), Movement time, and Joint angles (Knee, Hip, Ankle).
Biomechanical Forces: Loads on the Knee, Hip, and Ankle joints (in Newtons).
Muscle Activation (EMG): Quadriceps, Hamstrings, and Calves' muscle activation levels.
Movement Metrics: Velocity (m/s), Acceleration (m/s²), and Movement Symmetry (ratio between left and right movement).
Injury Risk Factors: Predicted injury risk factor (Low, Medium, High), based on biomechanical analysis.
Irregularities Detected: Whether any irregular movement patterns were detected during the performance (Yes/No).
Injury Types: Types of injuries associated with the movement patterns (e.g., Knee Injury, Ankle Sprain, No Injury).