Assessing the Effects of Whole-Body Vibrations on Powered Wheelchair Users’ Health and Comfort: Introducing a Novel Dataset
Description
Files descriptions: - vibrationData.rar -> All the vibration data for all users (compressed) - vibrationData -> All the vibration data for all users Data Tree vibrationData / User1/ readMe Back/ data00 data01 Feet/ data00 data01 Seat/ data00 data01 data.rar/ User2/ . . . readMe-> users' weights and heights -> start and end time for each terrain type (tarmac, tiled concrete, pavement bricks, tiled floor, carpet floor) data00,01,..-> .csv/.xlsx file -> sec, imu_time(ms), imu_time_diff(ms), ax, ay, az, gx, gy, gz, accAngleX, accAngleY, compX, compY, kalmanX, kalmanY The collected data includes the following parameters: time in seconds, IMU timestamp in milliseconds, time difference between consecutive IMU samples in milliseconds, acceleration values in the x, y, and z directions (ax, ay, az), gyroscope readings in the x, y, and z directions (gx, gy, gz), accelerometer angle readings in the x and y directions (accAngleX, accAngleY), complementary filter readings in the x and y directions (compX, compY), and Kalman filter readings in the x and y directions (kalmanX, kalmanY). Paper: E. Mohamed, K. Sirlantzis, G. Howells and J. Dib, "Investigation of Vibration and User Comfort for Powered Wheelchairs," in IEEE Sensors Letters, vol. 6, no. 2, pp. 1-4, Feb. 2022, Art no. 2500204, doi: 10.1109/LSENS.2022.3147740.
Files
Steps to reproduce
1- Sensor Placement: Install three inertial measurement unit (IMU) sensors at specific points on the Roma Reno II Power Chair. Place the first sensor on the seat surface along the z-axis, representing the point of vibration entry. Position the second sensor on the seatback along the x-axis to capture vibrations entering the body. Mount the third sensor on the feet area along the z-axis to measure vibrations transmitted to the lower extremities. Additionally, install an extra sensor on the powered wheelchair chassis/battery as a reference point. 2- Sensor Technology: Utilize IMU boards equipped with high-sampling-rate nine-degree-of-freedom MPU-9250 sensors. Configure the accelerometer range to the lowest value (±2g) for obtaining high-resolution acceleration readings. 3- Wheelchair Selection: Choose the Roma Reno II Power Chair as the wheelchair model for data collection. Select this particular model due to its lack of suspension or shock absorption systems. This ensures that vibrations from the terrain's surface are directly transferred to the user's body. 4- Terrain Selection: Implement five different types of terrains for data collection. Outdoor terrains consist of tarmac, tiled concrete, and pavement bricks. Indoor terrains include carpeted and tiled floors. Designate a track spanning approximately 1.3 km, starting from a research laboratory and ending at the central building of the university campus. Ensure the track covers all five terrain types to capture a range of vibrations experienced by EPW users. 5- Participant Involvement: Recruit four participants representing a range of body sizes, including different weights and heights. Instruct participants to navigate the predefined track using the Roma Reno II Power Chair at a predefined speed. Note that the actual speed and completion time may vary depending on the participants' weights and driving style. 6- Data Recording: Record the acceleration data from the installed IMU sensors at a sampling frequency of at least 200Hz. Capture data from all sensors simultaneously to ensure synchronized measurements. Collect data for the entire duration of each participant's traversal of the track, capturing vibrations experienced during the entire journey. By following these steps, researchers can reproduce the dataset, capturing whole-body vibration data experienced by electrically powered wheelchair users across various terrains and body sizes, adhering to ISO-2631 standards.