physiological signals
An Emotion Recognition Based on Physiological Signals
... environment. Physiological signals are acquired at a required sampling frequency which depends on the type of physiological signals like ECG ...
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Assessment of Human Fatigue during Physical Performance using Physiological Signals: A Review
... these physiological signals, physical measures such as face expression, eye gaze are also some good indicators of ...or physiological measures ...and physiological) of features may help in ...
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Real time reconstruction of quasiperiodic multi parameter physiological signals
... the signals collected by these ...nonstationary physiological signals such as electrocardio- gram (ECG), arterial blood pressure (ABP), and photo- plethysmogram ...the signals are often ...
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An Inter-domain Study for Arousal Recognition from Physiological Signals
... Arousal recognition from physiological signals is a task with many challenge remaining, especially when performed in several different domains. However, the need for emotional intelligent machines increases ...
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Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals
... and physiological sig- nals, we conducted an experiment in which we elicited emo- tions (sadness, anger, fear, surprise, frustration, and amuse- ment) using movie clips and mathematical problems while measuring ...
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Personalized emotion recognition by personality aware high order learning of physiological signals
... Personality and emotion relationship. Human personality can be described by the big-five or five-factor model in terms of five dimensions - Extraversion, Neuroticism, A- greeableness, Conscientiousness and Openness [9]. ...
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Subject-independent emotion recognition based on physiological signals: a three-stage decision method
... and physiological responses ...that physiological signals, such as electroencephalo- gram (EEG), electrocardiogram (ECG), electromyogram (EMG), galvanic skin response (GSR) and respiration (RSP), ...
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Deep learning for healthcare applications based on physiological signals: A review
... Physiological signals are an invaluable data source which assists in disease detection, reha- bilitation, and treatment ...The signals come from sensors implanted or placed on the skin ...the ...
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A data analytics framework for physiological signals from wearable devices
... of physiological signals to decode the psychophysiological state [68], combined with the emergence of wearable technologies which ease the acquisition of physiological signals in real-life, ...
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Analysis of physiological signals for recognition of boredom, pain, and surprise emotions
... of physiological signals. Physio- logical signals are measured for 1 min during relaxation while viewing the “fixation” on the computer screen (base- line state) and for 1~3 min during the ...
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Exploring physiological signals on people with Duchenne muscular dystrophy for an active trunk support: a case study
... the signals were divided by a sub-maximum contraction ...(E) signals using a high-pass Butterworth (40Hz), full wave rectifier and a low-pass But- terworth at ...activation signals were measured with ...
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Real Time Based Driver's Safeguard System by Analyzing Human Physiological Signals
... Abstract-- In this paper a new approach based on bio-signal sensing was used for real time accident avoidance. A wireless embedded system with real time bio-signal processing technique was proposed. The ...
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A Low-Cost Portable Health Platform for the Monitoring of Human Physiological Signals
... Pantelopoulos and Bourbakis presented a health monitoring system in 2010: this system performs the same task as the one of this work but using less expensive hardware and offloading tasks to existing hardware [7]. This ...
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Biometric Methods for Secure Communications in Body Sensor Networks: Resource-Efficient Key Management and Signal-Level Data Scrambling
... By incorporating the body itself and the various phys- iological signal pathways as secure channels for efficiently distributing the derived biometrics, security can be feasi- bly implemented for BSN [1, 2]. For instance, ...
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MobiHealthcare System: Body Sensor Network Based M Health System for Healthcare Application
... lect physiological signals specifically for different requirements, a cell phone to facilitate the joint processing of spa- tially and temporally collected medical data from different parts of the body for ...
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A Hospital Healthcare Monitoring System using Wireless Sensor Networks
... The WMHRN consists of several wireless nodes. Relay node has only routing capability to transfer physiological signals, such as heart beat, BP, and other biomedical signals to the base station or to ...
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AV+ EC 2015 the first affect recognition challenge bridging across audio, video, and physiological data
... that physiological signals are complementary to audio- visual data for the description of affective behaviours, which thus confirm their strong potential for affective ...
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A Portal for Interacting with Context Aware Ubiquitous Systems
... In the Grid Based Medical Devices for Everyday Health, the physiological signals and context information are relayed back to a grid-based system which performs the appropriate signal pro[r] ...
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A cardiorespiratory classifier of voluntary and involuntary electrodermal activity
... whose physiological origins are still debated wherein heart rate fluctuations at respiratory frequencies are observed in healthy humans ...two signals has ...
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Brain Computer Interface Systems To Assist Patients Using EEG Signals
... EEG signals are downloaded from DEAP database ...and physiological signals were recorded from 32 participants while each one watched segments of music ...32 signals are classified into class-1 ...
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