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We describe the concept of a dry electrode sensor for biopotential measurement applications (ENOBIO) designed to eliminate the noise and inconvenience associated to the use of electrolytic gel. ENOBIO uses nanotechnology to remove…

We describe the development and first tests of Enobio, a dry electrode sensor concept for biopotential applications. In the proposed electrodes, the tip of the electrode is covered with a forest of multi-walled CNTs that can be coated with…

A technology for recording electrical activity of large neuron populations at arbitrary depth in brain tissues with less than cell spatial and millisecond temporal resolutions was the most craving dream of neuroscientists and a long pursued…

Biological Physics · Physics 2013-09-02 Roman V. Beletskiy

Soft and pliable conductive polymer composites hold promise for application as bioelectronic interfaces such as for electroencephalography (EEG). In clinical, laboratory, and real-world EEG there is a desire for dry, soft, and comfortable…

Medical Physics · Physics 2016-09-28 G. A. Slipher , W. D. Hairston , R. A. Mrozek

Recent advances in material technology and in micro- and nano-electronics have profoundly changed the design of intracranial electrophysiology electrodes. It is now possible to manufacture electrodes that record cortical activity at a…

Neurons and Cognition · Quantitative Biology 2024-02-06 Pierre Bourdillon , Linnea Evanson

Medical electrophysiological sensors that can study the body and diagnose diseases depend on consistently low impedance electrode-skin interfaces. Clinical-standard wet electrodes use hydrogels and skin abrasion to improve the interface and…

Neural wearables can enable life-saving drowsiness and health monitoring for pilots and drivers. While existing in-cabin sensors may provide alerts, wearables can enable monitoring across more environments. Current neural wearables are…

Quantitative Methods · Quantitative Biology 2024-05-14 Ryan Kaveh , Carolyn Schwendeman , Leslie Pu , Ana C. Arias , Rikky Muller

Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive workload, arousal, or other measures tied to the…

Human-Computer Interaction · Computer Science 2024-03-25 Martin Schmitz , Dominik Schön , Henning Klagemann , Thomas Kosch

Electronic textiles (E-textiles) offer great wearing comfort and unobtrusiveness, thus holding potential for next-generation health monitoring wearables. However, the practical implementation is hampered by challenges associated with poor…

Medical Physics · Physics 2024-07-12 Junyi Zhao , Chansoo Kim , Weilun Li , Zichao Wen , Zhili Xiao , Yong Wang , Shantanu Chakrabartty , Chuan Wang

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

Wearable human activity sensors developed in the past decade show a distinct trend of becoming thinner and more imperceptible while retaining their electrical qualities, with graphene e-tattoos, as the ultimate example. A persistent…

Due to the fact that roughly sixty percent of the human body is essentially composed of water, the human body is inherently a conductive object, being able to, firstly, form an inherent electric field from the body to the surroundings and…

Signal Processing · Electrical Eng. & Systems 2024-01-12 Sizhen Bian , Mengxi Liu , Bo Zhou , Paul Lukowicz , Michele Magno

Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the understanding of user experience. We contribute a set of methods to…

Human-Computer Interaction · Computer Science 2016-01-13 Jérémy Frey , Maxime Daniel , Julien Castet , Martin Hachet , Fabien Lotte

Electrodermal Activity (EDA) is a non-invasive physiological signal widely available in wearable devices and reflects sympathetic nervous system (SNS) activation. Prior multi-modal studies have demonstrated robust performance in…

Machine Learning · Computer Science 2026-04-24 Rena Mira Krishna , Ramya Sankar , Shadi Ghiasi

Touch is the first sense among human senses. Not only that, but it is also one of the most important senses that are indispensable. However, compared to sight and hearing, it is often neglected. In particular, since humans use the tactile…

Human-Computer Interaction · Computer Science 2021-12-15 Myoung-Ki Kim , Jeong-Hyun Cho , Hye-Bin Shin

Physiological fatigue, a state of reduced cognitive and physical performance resulting from prolonged mental or physical exertion, poses significant challenges in various domains, including healthcare, aviation, transportation, and…

Human-Computer Interaction · Computer Science 2024-01-30 Ildar Rakhmatulin

Electronic skin, a class of wearable electronic sensors that mimic the functionalities of human skin, has made remarkable success in applications including health monitoring, human-machine interaction and electronic-biological interfaces.…

Anxiety has become a significant health concern affecting mental and physical well-being, with state anxiety, a transient emotional response, linked to adverse cardiovascular and long-term health outcomes. This research explores the…

Human-Computer Interaction · Computer Science 2026-02-13 Jadelynn Dao , Ruixiao Liu , Sarah Solomon , Samuel Solomon

To evaluate EEG data, one can count local maxima and minima on a fine scale, in a sliding window analysis. This straightforward calculation, which simplifies and improves previous work on permutation entropy, directly defines a good proxy…

Applications · Statistics 2017-10-03 Christoph Bandt

The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological…

Human-Computer Interaction · Computer Science 2016-09-06 Lauri Ahonen , Benjamin Cowley
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