Measuring Whole-Body Vibrations on Powered Wheelchair Users: Introducing a Novel Dataset

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.