iui-group-l-name-zensiert/1-first-project/notes.md

Notes on 1st project

The given data at iui-datalrelease1-sose2021-readonly/* represents sensor data from a pen.

|----------------------------------------------------------------------------| | Data | MinVal | MaxVal | Description | | Millis | - | - | Timestamp from tablet | | Acc1 X | - | - | Front/Tip accelerometer (Direction: Left/Right) | | Acc1 Y | - | - | Front/Tip accelerometer (Direction: Up/Down) | | Acc1 Z | - | - | Front/Tip accelerometer (Direction: Back/Front) | | Acc2 X | - | - | Back accelerometer (Direction: Left/Right) | | Acc2 Y | - | - | Back accelerometer (Direction: Up/Down) | | Acc1 Z | - | - | Back accelerometer (Direction: Back/Front) | | Gyro X | - | - | Gyroscope sensor | | Gyro Y | - | - | Gyroscope sensor | | Gyro Z | - | - | Gyroscope sensor | | Mag X | - | - | Magnetometer | | Mag Y | - | - | Magnetometer | | Mag Z | - | - | Magnetometer | | Force | - | - | Force applied | | Time | - | - | Time from start of "recording" | |----------------------------------------------------------------------------|

There were 100 participants.

The folder-structure is as follows: /opt/iui-datarelease1-sose2021/{P}/{N}{A}.csv P = The ID of the participant N = The N-th letter the participant wrote A = The letter that was written

Each participants folder contains a calibration.txt, which contains the calibration data of the pen for the participant.

Sensor data was recorded at 100hz (100 recordings/s => 1 recording/ms).

Preprocessing

Millis

• Could be used for identifying each data entry -> needs to be normalized to the first entry of the data set to see the comlete timeline of the data

Acc1

todo

Acc2

todo

Gyro

todo

Mag

todo

Force

• Sometimes sensor data was recorded even when there is no action -> we need to determine the area of interest

  • maybe sliding window, where window avg has to be certain threshold
  • general threshold aproach (filter out data below threshold)
  • more ideas welcome

• Data could be normalized by each users relative strength or data entry

Time

• Time is negative for some data, gotta find out why

Model selection

todo