IRISA-KIHT-S dataset

This dataset is composed of 30 recordings of adult writers, acquired on Tablet.

Every recording session generates files from the data acquisition mobile app. The sensor signals file has 13 columns: milliseconds, accelerometer front (x, y, z), accelerometer rear  (x, y, z), gyroscope (x, y, z), magnetometer  (x, y, z), and force signals. Tablet signal files contain milliseconds, position coordinates (x, y, z), and pressure force signals.

The transcription (labels) file contains labels and the start and stop time-stamps for every sample. Additional files concerning the sensor calibration and recording meta data are provided.

Data Acquisition

The recording process begins by selecting a set of predefined scripts to be written on the tablet surface using the Digipen. This dataset is made up of the following recording process:

  • KIHT_TABLET_MIXED, consists of 34 samples to be written one by one during a single recording session. It is composed of five groups: 15 characters, 10 words, 5 equations, 2 shapes and 2 word groups.

While recording, a user holds the pen’s on/off switch up, which is a natural way to take the Digipen due to grips designed on the pen to naturally position the fingers properly.

Sensors

Each Digipen is equipped with five sensors.

  • Front accelerometer (STM LSM6DSL)
  • Gyroscope (STM LSM6DSL)
  • Rear accelerometer (Freescale MMA8451Q)
  • Magnetometer (ALPS HSCDTD008A)
  • Force sensor (ALPS HSFPAR003A)

Sensor Data

The sensors’ raw data stream is provided in the files called sensor_data.csv. Each file consists of 15 columns:

  • Millis: The timestamp when the data were processed on the tablet computer that the pen was connected to during recording
  • Acc1 X, Acc1 Y, Acc1 Z: The values of the front accelerometer in three dimensions
  • Acc2 X, Acc2 Y, Acc2 Z: The values of the rear accelerometer in three dimensions
  • Gyro X, Gyro Y, Gyro Z: The gyroscope values in three dimensions
  • Mag X, Mag Y, Mag Z: The magnetometer values in three dimensions
  • Force: The force with which the pen tip touches the surface
  • Time: A sample counter

References

If you use the IRISA-KIHT-S dataset, you agree to cite the following reference:

[1] Swaileh, W., Imbert, F., Soullard, Y. et al. Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network. IJDAR (2023).

How to get the dataset ?

Before downloading the dataset, you agree that this dataset is under the CLIC licence and can only be used for research purposes. To receive the download link, please complete the following contact form.

    Back to the KIHT dataset page.