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We calculate a measure of statistical complexity from the global dynamics of electroencephalographic (EEG) signals from healthy subjects and epileptic patients, and are able to stablish a criterion to characterize the collective behavior in…

Adaptation and Self-Organizing Systems · Physics 2015-05-13 M. Escalona-Moran , M. G. Cosenza , R. Lopez-Ruiz , P. Garcia

This paper presents a dataset containing recordings of the electroencephalogram (EEG) and the electromyogram (EMG) from eight subjects who were assisted in moving their right arm by an active orthosis device. The supported movements were…

Human-Computer Interaction · Computer Science 2024-03-14 Niklas Kueper , Kartik Chari , Judith Bütefür , Julia Habenicht , Su Kyoung Kim , Tobias Rossol , Marc Tabie , Frank Kirchner , Elsa Andrea Kirchner

The conflict between vergence (eye movement) and accommodation (crystalline lens deformation) occurs in every stereoscopic display. It could cause important stress outside the "zone of comfort", when stereoscopic effect is too strong. This…

Human-Computer Interaction · Computer Science 2014-04-25 Jérémy Frey , Léonard Pommereau , Fabien Lotte , Martin Hachet

Inferring patterns of synchronous brain activity from a heterogeneous sample of electroencephalograms (EEG) is scientifically and methodologically challenging. While it is intuitively and statistically appealing to rely on readings from…

Fatigue detection using physiological signals is critical in domains such as transportation, healthcare, and performance monitoring. While most studies focus on single modalities, this work examines statistical relationships between signal…

Machine Learning · Computer Science 2025-09-29 Kourosh Kakhi , Abbas Khosravi , Roohallah Alizadehsani , U. Rajendra Acharyab

Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states.…

Human-Computer Interaction · Computer Science 2023-05-16 Kuan-Jung Chiang , Steven Dong , Chung-Kuan Cheng , Tzyy-Ping Jung

Virtual reality finds various applications in productivity, entertainment, and training scenarios requiring working memory and attentional resources. Working memory relies on prioritizing relevant information and suppressing irrelevant…

Human-Computer Interaction · Computer Science 2024-12-31 Francesco Chiossi , Changkun Ou , Carolina Gerhardt , Felix Putze , Sven Mayer

Music is an inherently social activity that allows people to share experiences and feel connected with one another. There has been little progress in designing artificial partners exhibiting a similar social experience as playing with…

Social and Information Networks · Computer Science 2024-02-15 Dobromir Dotov , Dante Camarena , Zack Harris , Joanna Spyra , Pietro Gagliano , Laurel Trainor

Patterns of brain activity are associated with different brain processes and can be used to identify different brain states and make behavioral predictions. However, the relevant features are not readily apparent and accessible. To mine…

For the emerging significance of mental stress, various research directives have been established over time to better understand the causes of stress and how to deal with it. In recent years, the rise of video gameplay is unprecedented,…

Signal Processing · Electrical Eng. & Systems 2021-09-28 Shidhartho Roy , Monira Islam , Md. Salah Uddin Yusuf , Nushrat Jahan

Detecting auditory attention based on brain signals enables many everyday applications, and serves as part of the solution to the cocktail party effect in speech processing. Several studies leverage the correlation between brain signals and…

Human-Computer Interaction · Computer Science 2024-10-28 Siqi Cai , Pengcheng Sun , Tanja Schultz , Haizhou Li

Spontaneous fluctuations of the BOLD (Blood Oxygen Level-Dependent) signal, measured with fMRI (functional Magnetic Resonance Imaging), display a rich and neurobiologically relevant functional connectivity structure. This structure is…

Neurons and Cognition · Quantitative Biology 2012-09-24 Enzo Tagliazucchi , Frederic von Wegner , Astrid Morzelewski , Verena Brodbeck , Helmut Laufs

A piece of music can be expressively performed, or interpreted, in a variety of ways. With the help of an online questionnaire, the Con Espressione Game, we collected some 1,500 descriptions of expressive character relating to 45…

This study aimed to analyze brain activity during various STEM activities, exploring the feasibility of classifying between different tasks. EEG brain data from twenty subjects engaged in five cognitive tasks were collected and segmented…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Ryan Cho , Mobasshira Zaman , Kyu Taek Cho , Jaejin Hwang

In the past few years it has been demonstrated that electroencephalography (EEG) can be recorded from inside the ear (in-ear EEG). To open the door to low-profile earpieces as wearable brain-computer interfaces (BCIs), this work presents a…

Quantitative Methods · Quantitative Biology 2020-04-30 Ryan Kaveh , Justin Doong , Andy Zhou , Carolyn Schwendeman , Karthik Gopalan , Fred Burghardt , Ana C. Arias , Michel Maharbiz , Rikky Muller

The monaural beat is known that it can modulate brain and personal states. However, which changes in brain waves are related to changes in state is still unclear. Therefore, we aimed to investigate the effects of monaural beats and find the…

Neurons and Cognition · Quantitative Biology 2023-11-21 Ha-Na Jo , Young-Seok Kweon , Gi-Hwan Shin , Heon-Gyu Kwak , Seong-Whan Lee

Collective improvisation in dance provides a rich natural laboratory for studying emergent coordination in coupled neuro-motor systems. Here, we investigate how training shapes spontaneous synchronization patterns in both movement and brain…

Skilled ensemble musicians coordinate with high precision, even when improvising or interpreting loosely-defined notation. Successful coordination is supported primarily through shared attention to the musical output; however, musicians…

Sound · Computer Science 2019-11-21 Laura Bishop , Carlos Cancino-Chacón , Werner Goebl

Deficit of attention, anxiety, sleep disorders are some of the problems which affect many persons. As these issues can evolve into severe conditions, more factors should be taken into consideration. The paper proposes a conception which…

During brain function, groups of neurons fire synchronously. When these groups are large enough, the resulting electrical signals can be measured on the scalp using Electroencephalography (EEG). The amplitude of these signals can be…

Neurons and Cognition · Quantitative Biology 2025-02-05 Jesus Acosta-Elias , Santiago Mendez-Moreno , Omar Vital-Ochoa , Ricardo Espinosa-Tanguma