The dataset contains 4 .csv files:

• File 1: Fixed Text Typing Dataset which is collected while a participants it typing a fixed text and it  includes the following features: User Id, Emotion Index, Index, Key Code, key Down, key Up, D1U1, D1U2, D1D2, U1D2, U1U2, D1U3, D1D3, and Answer.

• File 2: Free Text Typing Dataset which is collected while a participants it typing a free text and it  includes the following features:  User Id, Emotion Index, Index, Key Code, key Down, key Up, D1U1, D1U2, D1D2, U1D2, U1U2, D1U3, D1D3, and Answer.

• File 3: Frequency Dataset which includes frequency related features like User ID, textIndex, EmotionIndex, DelFreq, LeftFreq, and TotTime.

• File 4: Participants Information dataset which includes demographics information like UserID, TypeWith, TypistType, PCTimeAverage, AgeRange, gender, status, degree, and country.

NOTE:

• UserID: each participant is allocated the same ID in the 4 files.

• Emotion Index: H (for Happy), S (for Sad), A (for Angry), C (for Calm), and N (for Neutral state).

• Key Code: the key pressed by the participant.

• Key Down: is the exact timestamp of the key down event. 

• Key Up: is the exact timestamp of the key up event.

• TextIndex: the type of text typed being either FI (for Fixed text) or FR (for Free text)

• D1U1 (DT1): Time between first key down and first key up 1

• D1U2 (Dig2): Time between first key down and second key up 2

• D1D2 (Dig1): Time between first key down and second key down 2

• U1D2 (FT1 / FT2): Time between first key up and second key down 2

• U1U2 (Dig3): Time between first key up and second key up 2

• D1U3 (Trig2): Time between first key down and third key up 3

• D1D3 (Trig1): Time between first key down and third key down 3

• Answer: Takes “R” (as right answer) if the participant answered correctly the accuracy question and “W” (as wrong answer) if he incorrectly answered it. (The accuracy question is a MCQ related to the video that the participant has watched)

• DelFreq: Relative frequency of delete key NA

• LeftFreq: Relative frequency of backspace key NA

• Typing speed: Number of key pressed in each task the time spent from the first key pressed to the last key released (in the same task). 

• TypeWith: specifies if the participant types using one hand or two hands

• TypistType: specifies whether the participant uses one finger, two fingers, or is a touch typist (multiple fingers) to type a text.

• PCTimeAverage: is the average time a user spends on his/her computer per day.

• AgeRange: 16-19, 20-29, 30-39, >= 40years old. 

• Gender: Male, or female

• Status: Student, or professional

• Degree: College/University, or High school. 

• Country: Place of residence.

The following figure represents how the timing features are calculated.

Grant of License

We grant You a non-exclusive, non-transferable, revocable license to use the EmoSurv  Dataset solely for Your non-commercial, educational, and research purposes only, but without any right to copy or reproduce, publish or otherwise make available to the public or communicate to the public, sell, rent or lend the whole or any constituent part of the Emosurv Dataset thereof. 

A dataset of senior high student. That can be used to verify student performance prediction method such as graph neural network for grade prediction

The dataset is acquired from a capacitive sensor array composed of a set of sensor electrodes immersed in three different phases: air, oil, and water. It is composed of digital signals obtained from one electrode while it was immersed in the oil and water phases at different times. 

## Experimental setup

The experimental setup is composed of a capacitive sensor array that holds a set of sensing cells (electrodes) distributed vertically along the sensor body (PCB). The electrodes are excited sequentially and the voltage (digital) of each electrode is measured and recorded. The voltages of each electrode are converted to intensity values by the following equation:

intensity = ( |Measured Voltage - Base Voltage| / Base Voltage ) x 100

Where the Base Voltage is the voltage of the electrode recorded while the electrode is immersed in air. The intensity values are stored in the dataset instead of the raw voltage values.

## Experimental procedure 

The aim of the experiments is to get fixed-size intensity signals from one electrode (target electrode) when being immersed in water and oil; labeled as +1 (water) or -1 (oil). For this purpose, the following procedure was applied:

- The linear actuator was programmed to move the sensor up and down at a constant speed (20 mm / second).

- The actuator stops when reaching the upper and bottom positions for a fixed duration of time (60 seconds).

- At the upper position, the target electrode is immersed in oil; intensity signals are labeled -1 and sent to the PC.

- At the bottom position, the target electrode is immersed in water; intensity signals are labeled +1 and sent to the PC.

- The sampling rate is 100 msec; since each intensity signal contains 10 values, it takes 1 second to record one intensity signal 

## Environmental conditions

The experiments were perfomed under indoors laboratory conditions with room temperature of around 23 degree Celsius. 

## Dataset structure 

The signals included in the dataset are composed of intensity signals each with 10 consecutive values and a label in the last column. The label is +1 for a water-immersed electrode and -1 for an oil-immersed electrode.

## Application

The dataset should be used to train a classifier to differentiate between electrodes immersed in water and oil phases given a sample signal.

The data is straightforward.

A small number of entries are in Hebrew.

The data is in CSV format. Please check the research paper for obtaining the difficulty label from the I_Z score.