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Related papers: Sonic Entanglements with Electromyography: Between…

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This study investigates emotional expression and perception in music performance using computational and neurophysiological methods. The influence of different performance settings, such as repertoire, diatonic modal etudes, and…

Human-Computer Interaction · Computer Science 2026-05-26 Vassilis Lyberatos , Spyridon Kantarelis , Ioanna Zioga , Christina Anagnostopoulou , Giorgos Stamou , Anastasia Georgaki

With stereoscopic displays, a depth sensation that is too strong could impede visual comfort and result in fatigue or pain. Electroencephalography (EEG) is a technology which records brain activity. We used it to develop a novel…

Human-Computer Interaction · Computer Science 2015-05-29 Jérémy Frey , Aurélien Appriou , Fabien Lotte , Martin Hachet

The term gestalt has been widely used in the field of psychology which defined the perception of human mind to group any object not in part but as a unified whole. Music in general is polytonic i.e. a combination of a number of pure tones…

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

Sound synthesiser controls typically correspond to technical parameters of signal processing algorithms rather than intuitive sound descriptors that relate to human perception of sound. This makes it difficult to realise sound ideas in a…

Multimedia · Computer Science 2021-07-16 Sebastian Löbbers , Mathieu Barthet , György Fazekas

Electromagnetic (EM) composites have stimulated tremendous fundamental and practical interests owing to their flexible electromagnetic properties and extensive potential engineering applications. Hence, it is necessary to systematically…

Optics · Physics 2022-09-21 Faxiang Qin , Mengyue Peng , Diana Estevez , Christian Brosseau

Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time and in the community. Human body responses are manifested through multiple modalities, such as the…

Objective: Cortico-muscular communication patterns are instrumental in understanding movement control. Estimating significant causal relationships between motor cortex electroencephalogram (EEG) and surface electromyogram (sEMG) from…

Signal Processing · Electrical Eng. & Systems 2025-01-22 Farwa Abbas , Verity McClelland , Zoran Cvetkovic , Wei Dai

Recently, surface electromyogram (EMG) has been proposed as a novel biometric trait for addressing some key limitations of current biometrics, such as spoofing and liveness. The EMG signals possess a unique characteristic: they are…

Cryptography and Security · Computer Science 2022-12-02 Ashirbad Pradhan , Jiayuan He , Ning Jiang

Data physicalization is a research area in quick expansion whose necessity and popularity are motivated by the pervasiveness of data in our everyday. While the reflective ability of personal data physicalization has been vastly documented,…

Human-Computer Interaction · Computer Science 2024-05-17 Maria Teresa Ortoleva , Rita Borgo , Alfie Abdul-Rahman

Electrocardiogram (ECG) is a widely used tool for assessing cardiac function due to its low cost and accessibility. Emergent research shows that ECGs can help make predictions on key outcomes traditionally derived from more complex…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Yuan Gao , Sangwook Kim , Chris McIntosh

Teegi is an anthropomorphic and tangible avatar exposing a users' brain activity in real time. It is connected to a device sensing the brain by means of electroencephalog-raphy (EEG). Teegi moves its hands and feet and closes its eyes along…

Human-Computer Interaction · Computer Science 2017-03-08 Jérémy Frey , Renaud Gervais , Thibault Lainé , Maxime Duluc , Hugo Germain , Stéphanie Fleck , Fabien Lotte , Martin Hachet

Electrocardiogram (ECG) signals, profiling the electrical activities of the heart, are used for a plethora of diagnostic applications. However, ECG systems require multiple leads or channels of signals to capture the complete view of the…

Signal Processing · Electrical Eng. & Systems 2024-05-31 Nabil Ibtehaz , Masood Mortazavi

Surface Electromyography (sEMG) provides vital insights into muscle function, but it can be noisy and challenging to acquire. Inertial Measurement Units (IMUs) provide a robust and wearable alternative to motion capture systems. This paper…

Machine Learning · Computer Science 2025-11-24 Shubhranil Basak , Mada Hemanth , Madhav Rao

Electroencephalogram (EEG) based brain-computer interface (BCI) systems are useful tools for clinical purposes like neural prostheses. In this study, we collected EEG signals related to grasp motions. Five healthy subjects participated in…

Human-Computer Interaction · Computer Science 2020-05-12 Jeong-Hyun Cho , Ji-Hoon Jeong , Seong-Whan Lee

Electroencephalogram (EEG) is the recording which is the result due to the activity of bio-electrical signals that is acquired from electrodes placed on the scalp. In Electroencephalogram signal(EEG) recordings, the signals obtained are…

Soft robotics has emerged as a versatile field with applications across various domains, from healthcare to industrial automation, and more recently, art and interactive installations. The inherent flexibility, adaptability, and safety of…

People feel emotions when listening to music. However, emotions are not tangible objects that can be exploited in the music composition process as they are difficult to capture and quantify in algorithms. We present a novel musical…

Artificial Intelligence · Computer Science 2018-10-09 Eunjeong Stella Koh , Shahrokh Yadegari

High temporal resolution measurements of human brain activity can be performed by recording the electric potentials on the scalp surface (electroencephalography, EEG), or by recording the magnetic fields near the surface of the head…

Data Analysis, Statistics and Probability · Physics 2015-01-22 Kevin H. Knuth

Electroencephalography (EEG) is an non-invasive method to record the electrical activity of the brain. The EEG signals are low bandwidth and recorded from multiple electrodes simultaneously in a time synchronized manner. Typical EEG signal…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Sunil Kumar Kopparapu