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We engineered an interactive music system that influences a user's breathing rate to induce a relaxation response. This system generates ambient music containing periodic shifts in loudness that are determined by the user's own breathing…

Human-Computer Interaction · Computer Science 2019-07-23 Grace Leslie , Asma Ghandeharioun , Diane Y. Zhou , Rosalind W. Picard

The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. With their global reach and often staggering enrollments, MOOCs have the potential to become a major new mechanism…

Social and Information Networks · Computer Science 2014-03-17 Ashton Anderson , Daniel Huttenlocher , Jon Kleinberg , Jure Leskovec

We propose a novel active learning framework for activity recognition using wearable sensors. Our work is unique in that it takes physical and cognitive limitations of the oracle into account when selecting sensor data to be annotated by…

Machine Learning · Computer Science 2019-07-30 Zhila Esna Ashari , Hassan Ghasemzadeh

To improve the understanding of human gait and to facilitate novel developments in gait rehabilitation, the neural correlates of human gait as measured by means of non-invasive electroencephalography (EEG) have been investigated recently.…

Neurons and Cognition · Quantitative Biology 2020-03-03 Cornelia Herbert , Jan Nachtsheim , Michael Munz

Anxiety affects human capabilities and behavior as much as it affects productivity and quality of life. It can be considered as the main cause of depression and suicide. Anxious states are easily detectable by humans due to their acquired…

Computer Vision and Pattern Recognition · Computer Science 2019-08-07 Asma Baghdadi , Yassine Aribi , Rahma Fourati , Najla Halouani , Patrick Siarry , Adel M. Alimi

Teaching motor skills such as playing music, handwriting, and driving, can greatly benefit from recently developed technologies such as wearable gloves for haptic feedback or robotic sensorimotor exoskeletons for the mediation of effective…

Human-Computer Interaction · Computer Science 2024-02-16 Segev Shlomov , Jonathan Muehlstein , Nitzan Guetta , Lior Limonad

Eye tracking (ET) can help to understand visual attention and cognitive processes in interactive environments. This study presents a comprehensive eye-tracking analysis framework of the Inhibitory Control Game, named the ReStroop game,…

Human-Computer Interaction · Computer Science 2025-09-11 Abdul Rehman , Ilona Heldal , Diana Stilwell , Paula Costa Ferreira , Jerry Chun-Wei Lin

Whereas most brain-computer interface research has focused on decoding neural signals into behavior or intent, the reverse challenge-using controlled stimuli to steer brain activity-remains far less understood, particularly in the visual…

Neural and Evolutionary Computing · Computer Science 2026-03-03 Dongyang Li , Kunpeng Xie , Mingyang Wu , Yiwei Kong , Jiahua Tang , Haoyang Qin , Chen Wei , Quanying Liu

Emotions are one of the important components of the human being, thus they are a valuable part of daily activities such as interaction with people, decision making and learning. For this reason, it is important to detect, recognize and…

Human-Computer Interaction · Computer Science 2025-12-30 Ricardo Vasquez , Diego Riofrío-Luzcando , Joe Carrion-Jumbo , Cesar Guevara

Closed-loop brain stimulation refers to capturing neurophysiological measures such as electroencephalography (EEG), quickly identifying neural events of interest, and producing auditory, magnetic or electrical stimulation so as to interact…

Signal Processing · Electrical Eng. & Systems 2022-10-12 Nicolas Valenchon , Yann Bouteiller , Hugo R. Jourde , Xavier L'Heureux , Milo Sobral , Emily B. J. Coffey , Giovanni Beltrame

This paper proposes a prototype of a new biofeedback training based on mathematical models of cardiovascular control. For this purpose we develop a low-cost device that is able to record and process arterial pulse wave via…

Neurons and Cognition · Quantitative Biology 2019-02-18 Michel Kana

Student engagement is a key construct for learning and teaching. While most of the literature explored the student engagement analysis on computer-based settings, this paper extends that focus to classroom instruction. To best examine…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Ömer Sümer , Patricia Goldberg , Sidney D'Mello , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

The increasing adoption of smart classroom technologies in higher education has mainly focused on automating attendance, with limited attention given to students' emotional and cognitive engagement during lectures. This limits instructors'…

Artificial Intelligence · Computer Science 2026-01-14 Keith Ainebyona , Ann Move Oguti , Joseph Walusimbi , Ritah Kobusingye

Several changes occur in the brain in response to voluntary and involuntary activities performed by a person. The ability to retrieve data from the brain within a time space provides a basis for in-depth analyses that offer insight on what…

Human-Computer Interaction · Computer Science 2020-06-30 Daniel Omeiza , Kayode Sakariyah Adewole , Daniel Nkemelu

Physical agents that can autonomously generate engaging, life-like behaviour will lead to more responsive and interesting robots and other autonomous systems. Although many advances have been made for one-to-one interactions in well…

Human-Computer Interaction · Computer Science 2020-06-25 Lingheng Meng , Daiwei Lin , Adam Francey , Rob Gorbet , Philip Beesley , Dana Kulić

Physics instructors need support to successfully adopt and adapt evidence-based active engagement (EBAE) approaches because improving teaching and learning is a process and support is needed to ensure that they do not get disheartened if a…

Physics Education · Physics 2026-03-03 Paul Justice , Emily Marshman , Chandralekha Singh

People often strive for deep engagement in activities which is usually associated with feelings of flow: a state of full task absorption accompanied by a sense of control and fulfillment. The intrinsic factors driving such engagement and…

Neurons and Cognition · Quantitative Biology 2024-09-11 Hairong Lu , Dimitri van der Linden , Arnold B. Bakker

Task completion in digital and physical environments increasingly involves complex temporal interaction, where actions and observations unfold over different time scales rather than align with fixed observation--action steps. To model such…

Artificial Intelligence · Computer Science 2026-05-13 Jialian Li , Yuchen Cao , Junhong Liu , Weiran Guo , Xutao Wang , Jiaming Song , Jiahao Zhang , Jie Chen

In the context of education technology, empathic interaction with the user and feedback by the learning system using multiple inputs such as video, voice and text inputs is an important area of research. In this paper, a nonintrusive,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-16 S L Happy , A. Dasgupta , P. Patnaik , A. Routray

Neurofeedback is a promising approach for non-invasive modulation of human brain activity with applications for treatment of mental disorders and enhancement of brain performance. Neurofeedback techniques are commonly based on either…

Medical Physics · Physics 2013-12-10 Vadim Zotev , Raquel Phillips , Han Yuan , Masaya Misaki , Jerzy Bodurka