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Table 1 Comparison of biosignal methods

From: From face detection to emotion recognition on the framework of Raspberry pi and galvanic skin response sensor for visual and physiological biosignals

S. no.

Method

Electrodes

Placement of the signal-capturing device

Processing

Advantage disadvantage

1

Electroencephalogram (EEG) sensors

Fixed method and variable method

12 electrodes is one of the popular methods

10–5,10–10, 10–20 methods at right ear, from front to back

Frontopolar, frontal, central, parietal and occipita((o). Left are odd numbered and even are placed at the right part of the head Middle is called zero line

Wavelets. Machine learning and deep learning algorithms, signal processing methods, hybrid methods

Other fields of applications for proposed system are Human Computer Interface, medical dignosis and military field. Nonstationary and nonlinearity are drawbacks

2

Electrocardiogram (ECG) sensors

Twelve lead is popular. For laboratory conditions,3 leads are used,

For laboratory conditions, three lead ECG with the Right arm, left arm and left leg

NN50, SDNN, RMSSD are some of the features

improvisation in the previous research has hurdles of Age group bias, subjectivity in readings

3

Electromyography (EMG)

Surface Noninvasive EMG, and intramuscular

Facial EMG near the chin is popular. Low cost Myosensor is available

Methods like KNN, SVM are useful

Research is ongoing

4

Galvanic Skin Response sensors

Epidermal sensors

Mostly electrodes at fingers, palm, and feet. Useful in laboratory environment

AI and statistical methods can be used in combination of photoplethysmogram (PPG), EEG, and EEG

Advantage is fast response of emotions from skin. Disadvantage is the readings may deviate due to temperature and humidity