Stroke Rehabilitation Exercise Data Utilizing 3D Depth Sensors and IMU Sensors

This dataset’s main directory consists of two directories and two .csv files - IMU_Data Directory: Contains 128 files of 128 participants in .csv format. Example: P1.csv, P2.csv…P128.csv. KINECT_Skeleton_Data Direcory: Contains 631 files of 128 participants in .skeleton format.

Example: P1_Female_21_Exercise Type 1.skeleton…P128_Male_24_Exercise Type 5.skeleton. Participants_Information.csv: Contains participants’ ID, age, and gender. Participants_with_Performaces_Scores.csv: Contains participants’ control factor (CF) and primary outcome (PO) scores with exercise types.

The IMU_Data directory contains data from 2 IMU sensors. There are 128 .csv files consisting of the X, Y, Z axis data of Accelerometer, Gyroscope and Magnetometer present in the IMU sensors. Each individual .csv file consists of 3-5 sheets for the 5 defined exercises for physical rehabilitation.

The KINECT_Skeleton_Data direcory contains 631 skeleton files generated using the RGB-D sensors present in the Microsoft Kinect v2. The skeleton files are generated for 3-5 exercises for the 128 participants. Participants_Information.csv file also contains the age, gender, participant ID of 128 individuals.

The Participants_with_Performaces_Scores.csv file contains the scores for each exercise of each individual participant. The scores are classified into two categories, Primary Outcome (PO), and Control Factor (CF). POs and CFs signify the movement of upper limbs and physical constraints during the exercises.

The 5 exercises: Exercise Type 1: Lifting of the arms features Exercise Type 2: The lateral tilt of the trunk with the arms in extension Exercise Type 3: Trunk rotation Exercise Type 4: Pelvis rotations on the transverse plane Exercise Type 5: Squatting