نتایج جستجو برای: physiological signals

تعداد نتایج: 438983  

Journal: :iranian journal of psychiatry and behavioral sciences 0
, atefeh goshvarpour department of biomedical engineering, islamic azad university, mashhad branch, iran.

objective: electroencephalogram is a reliable reflection of many physiological factors modulating the brain. the bispectrum is very useful for analyzing non-gaussian signals such as eeg, and detecting the quadratic phase coupling between distinct frequency components in eeg signals.the main aim of this study was to test the existence of nonlinear phase coupling within the eeg signals in a certa...

Abstract Emotions play a powerful and significant role in human beings everyday life. They motivate us, impact our beliefs and decision making and would affect some cognitive processes like creativity, attention, and memory. Nowadays the use of emotion in computers is an increasingly in vogue field. In many ways emotions are one of the last and least explored frontiers of intuitive human-comput...

Journal: :Journal of medical engineering & technology 2011
K Gouizi F Bereksi Reguig C Maaoui

Emotion recognition is one of the great challenges in human-human and human-computer interaction. Accurate emotion recognition would allow computers to recognize human emotions and therefore react accordingly. In this paper, an approach for emotion recognition based on physiological signals is proposed. Six basic emotions: joy, sadness, fear, disgust, neutrality and amusement are analysed using...

2013

Nowadays keeping healthy has become one of the most important topics in our daily life. Keeping good mood is very helpful to one’s health. A lot of smart sensing systems have been designed and developed to detect human emotions. The physiological parameters obtained from the sensing system are then received and analyzed by computers. The physiological dataset collected by computers is then proc...

Journal: :Journal of the agricultural chemical society of Japan 1987

Journal: :CCF Transactions on Pervasive Computing and Interaction 2022

With the gradual maturity of virtual reality (VR) technology in recent years, VR industry is a trend rapid growth, providing new possibilities for content design. Although has been able to provide users with excellent immersive experience, side effects that affect user experience still exist, especially cybersickness. It would cause extreme physical discomfort and discontinuation use. Many rese...

Journal: :journal of medical signals and sensors 0
sepideh hatamikia keivan maghooli ali motie nasrabadi

electroencephalogram (eeg) is one of the useful biological signals to distinguish different brain diseases and mental states. in recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from eeg signals. in this research, we introduce an emot...

Journal: :journal of computer and robotics 0
sahar seifzadeh faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran karim faez electrical engineering department, amirkabir university of technology tehran, iran mahmood amiri medical biology research centre, kermanshah university of medical sciences, kermanshah, iran

brain-computer interfaces (bci) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. these systems do not use normal neuromuscular output pathways. actually, the principal goal of bci systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic la...

2015
Mark S. Dennison A. Zachary Wisti Michael D’Zmura

Cybersickness is a common and unpleasant side effect of virtual reality immersion. We measured physiological changes that were experienced by seated subjects who interacted with a virtual environment (VE) while viewing a display monitor or while using a head-mounted display (HMD). Comparing results for these two conditions let us identify physiological consequences of HMD use. In both viewing c...

 Brain-computer interfaces (BCI) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. These systems do not use normal neuromuscular output pathways. Actually, the principal goal of BCI systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic l...

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