Results 1 to 10 of about 23,221 (170)
Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval [PDF]
Peripheral physiological signals, as obtained using electrodermal activity and facial electromyography over the corrugator supercilii muscle, are explored as indicators of perceived relevance in information retrieval tasks.
Barral, Oswald +7 more
core +1 more source
Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures
We use self-report and electrodermal activity (EDA) wearable sensor data from 77 nights of sleep of six participants to test the efficacy of EDA data for sleep monitoring.
William Romine +2 more
doaj +1 more source
In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral ...
Barelka, Alex +6 more
core +2 more sources
Interference Conditions of the Reconsolidation Process in Humans: The Role of Valence and Different Memory Systems [PDF]
Following the presentation of a reminder, consolidated memories become reactivated followed by a process of re-stabilization, which is referred to as reconsolidation. The most common behavioral tool used to reveal this process is interference produced by
Cecilia Forcato +5 more
core +2 more sources
Emotion anticipation and processing in depression: Behavioral, neural, and physiological reactivity
Background Depression is characterized by disturbed emotion processing, with aberrant neural and physiological responses to emotional stimuli. Here, we applied an emotion anticipation and processing paradigm to investigate brain neural and electrodermal ...
Magdalena Wlad +6 more
doaj +1 more source
Block CUR: Decomposing Matrices using Groups of Columns
A common problem in large-scale data analysis is to approximate a matrix using a combination of specifically sampled rows and columns, known as CUR decomposition.
C Boutsidis +8 more
core +1 more source
Active learning for electrodermal activity classification [PDF]
To filter noise or detect features within physiological signals, it is often effective to encode expert knowledge into a model such as a machine learning classifier.
Fedor, Szymon +4 more
core +1 more source
Prerequisites for Affective Signal Processing (ASP) [PDF]
Although emotions are embraced by science, their recognition has not reached a satisfying level. Through a concise overview of affect, its signals, features, and classification methods, we provide understanding for the problems encountered.
Broek, Egon L. van den +3 more
core +1 more source
Background. Studying the functional state of the body of adolescents when they preform cognitive activity using electronic devices is of great importance due to the introduction of information and computer technologies into the educational process ...
O. N. Adamovskaya +2 more
doaj +1 more source
IntroductionThe study of electrodermal activity (EDA) in individuals with Autism Spectrum Disorder (ASD) is gaining scientific interest as a potential source of physiological biomarkers that can objectively improve the diagnosis of this condition ...
David Pérez-Jorge +3 more
doaj +1 more source

