# Notes on 1st project

The given data at [iui-datalrelease1-sose2021-readonly/\*](/opt/iui-datarelease1-sose2021) 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