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A Review of Emotion Recognition Using Physiological Signals
Sensors, 2018 Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security.
Lin Shu +7 more
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Integrated Memristor Network for Physiological Signal Processing
Advanced Electronic Materials, 2023 Humans are complex organisms made by millions of physiological systems. Therefore, physiological activities can represent physical or mental states of the human body. Physiological signal processing is essential in monitoring human physiological features.
Lei Cai +7 more
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Emotion recognition with multi-modal peripheral physiological signals
Frontiers in Computer Science, 2023 IntroductionHealthcare wearables allow researchers to develop various system approaches that recognize and understand the human emotional experience. Previous research has indicated that machine learning classifiers, such as Support Vector Machine (SVM),
Jennifer Gohumpu +5 more
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Wearable Physiological Signals under Acute Stress and Exercise Conditions. [PDF]
Sci DataIn this work, a novel dataset containing physiological signals recorded non invasevely during structured acute stress induction, as well as aerobic and anaerobic exercise sessions is presented. The physiological data were collected using the Empatica E4,
Hongn A +4 more
europepmc +2 more sources
An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals
Sensors, 2022 Emotion charting using multimodal signals has gained great demand for stroke-affected patients, for psychiatrists while examining patients, and for neuromarketing applications.
Amna Waheed Awan +8 more
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A Domain Generalization and Residual Network-Based Emotion Recognition from Physiological Signals
Cyborg and Bionic Systems, 2023 Emotion recognition from physiological signals (ERPS) has drawn tremendous attention and can be potentially applied to numerous fields. Since physiological signals are nonstationary time series with high sampling frequency, it is challenging to directly ...
Junnan Li +4 more
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Multimodal Classification of Anxiety Based on Physiological Signals
Applied Sciences, 2023 Multiple studies show an association between anxiety disorders and dysregulation in the Autonomic Nervous System (ANS). Thus, understanding how informative the physiological signals are would contribute to effectively detecting anxiety.
Mariana Vaz +3 more
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Applied Sciences, 2023 Increasingly prevalent sleep disorders worldwide significantly affect the well-being of individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence, the accurate classification of sleep stages is crucial for detecting sleep
Haifa Almutairi +2 more
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Emotion recognition based on multi-modal physiological signals and transfer learning
Frontiers in Neuroscience, 2022 In emotion recognition based on physiological signals, collecting enough labeled data of a single subject for training is time-consuming and expensive.
Zhongzheng Fu +5 more
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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
IEEE Transactions on Affective Computing, 2012 Christian Muhl +2 more
exaly +2 more sources