Results 11 to 20 of about 2,785,850 (195)
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
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Physiological signals in psychology
, 2022 Resources for measuring and analysing how physiological signals such as heart rate and EDA relate to psychological ...
James M. Allen +7 more
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Automated Detection of Hypertension Using Physiological Signals: A Review [PDF]
, 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.
U. Rajendra Acharya +7 more
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Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals [PDF]
, 2022 Major Depressive Disorder (MDD) is a neurohormonal disorder that causes persistent negative thoughts, mood and feelings, often accompanied with suicidal ideation (SI).
Zitouni, M. Sami +10 more
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Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: a systematic review [PDF]
, 2021 Driver sleepiness is a major contributor to road crashes. A system that monitors and warns the driver at a certain, critical level of arousal, could aid in reducing sleep-related crashes.
Watling, Christopher N. +2 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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A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals. [PDF]
, 2020 Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition.
Flynn, Ronan +2 more
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PhyMER: Physiological Dataset for Multimodal Emotion Recognition With Personality as a Context
IEEE Access, 2023 Physiological signals are widely used in the recognition of affective status. Recording of such physiological signals involves elicitation of emotions through different stimuli including video-based stimulus.
Sudarshan Pant +4 more
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, 2023 In this project we focus on the interplay between volume of sales and number of reviews and explore what happens when these signals are perceived as congruent versus ...
Signals of Popularity
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Agronomy, 2022 Drought area expansion has a great impact on the growth and development of plants. To contribute to the water management of strawberry, this work aims to study the chronological relationship between the electrical signals and representative physiological
Juan Zhou +7 more
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