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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
doaj +5 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
doaj +4 more sources
Automated Detection of Hypertension Using Physiological Signals: A Review [PDF]
International Journal of Environmental Research and Public Health, 2021 Arterial hypertension (HT) is a chronic condition of elevated blood pressure (BP), which may cause increased incidence of cardiovascular disease, stroke, kidney failure and mortality.
M. Sharma +3 more
semanticscholar +2 more sources
PhysioCHI: Towards Best Practices for Integrating Physiological Signals in HCI [PDF]
CHI Extended Abstracts, 2023 Recently, we saw a trend toward using physiological signals in interactive systems. These signals, offering deep insights into users’ internal states and health, herald a new era for HCI. However, as this is an interdisciplinary approach, many challenges
Francesco Chiossi +7 more
semanticscholar +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW [PDF]
ICTACT Journal on Communication Technology, 2018 Emotion recognition is one of the biggest challenges in human-human and human-computer interaction. There are various approaches to recognize emotions like facial expression, audio signals, body poses, and gestures etc.
Supriya Londhe, Rushikesh Borse
doaj +2 more sources
Detection of Physiological Signals Based on Graphene Using a Simple and Low-Cost Method
Sensors, 2019 Despite that graphene has been extensively used in flexible wearable sensors, it remains an unmet need to fabricate a graphene-based sensor by a simple and low-cost method. Here, graphene nanoplatelets (GNPs) are prepared by thermal expansion method, and
Liping Xie +4 more
doaj +3 more sources
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
doaj +2 more sources