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Emotion Recognition: Photoplethysmography and Electrocardiography in Comparison
Sergio Rinella1, Simona Massimino2, Piero Giorgio Fallica3
1Department of Educational Sciences, University of Catania, via Biblioteca 4, 95124 Catania, Italy.
Biosensors
|October 27, 2022
Summary
Photoplethysmography (PPG) offers accurate emotion recognition comparable to electrocardiography (ECG). This non-invasive wearable sensor technology aids in well-being by detecting affective states, even when traditional methods are impractical.
Area of Science:
- Psychophysiology
- Affective Computing
- Biomedical Engineering
Background:
- Emotion recognition is crucial for well-being but challenging in real-world settings.
- Traditional methods like electroencephalography (EEG) and electrocardiography (ECG) have limitations for practical, widespread use.
- Photoplethysmography (PPG) is a non-invasive, wearable sensor technology with potential for emotion detection.
Purpose of the Study:
- To compare the efficacy of PPG and ECG in detecting psychophysical and affective states.
- To evaluate PPG's accuracy against the established ECG standard for emotion recognition.
- To investigate the influence of participants' psychological conditions on physiological responses.
Main Methods:
- Comparative analysis of PPG and ECG signals.
- Utilizing wearable sensors for data acquisition.
- Assessing accuracy in recognizing affective variables and psychophysical states.
Main Results:
- PPG demonstrated accuracy comparable to ECG in recognizing affective variables.
- The study confirmed the potential of PPG for emotion and affective state detection.
- Participants' psychological states (anxiety, mood) were found to influence recorded psychophysiological responses.
Conclusions:
- PPG is a viable and accurate alternative to ECG for emotion recognition in real-world applications.
- Wearable PPG technology can significantly contribute to improving well-being through accessible affective state monitoring.
- Psychological factors play a significant role in psychophysiological responses, highlighting the complexity of emotion detection.
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