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Contactless Electrooculography (EOC) using electric charge variation (QVar) sensing has recently emerged as a promising eye-tracking technique for wearable devices. QVar enables low-power and unobtrusive interaction without requiring…

人机交互 · 计算机科学 2025-11-12 Alan Magdaleno , Pietro Bonazzi , Tommaso Polonelli , Michele Magno

The electrodermal activity (EDA) signal is a sensitive and non-invasive surrogate measure of sympathetic function. Use of EDA has increased in popularity in recent years for such applications as emotion and stress recognition; assessment of…

信号处理 · 电气工程与系统科学 2021-07-19 Md Billal Hossain , Hugo Fernando Posada-Quintero , Youngsun Kong , Riley McNaboe , Ki Chon

To understand Working of Human Brain measurements related to the brain function are required. These measurements should be possibly non-invasive. Brain should be disturbed as less as possible during the measurement. Integration of various…

新兴技术 · 计算机科学 2015-06-16 Revati Shriram , M. Sundhararajan , Nivedita Daimiwal

In healthy sleepers, cortical alpha oscillations are present during the transition from wakefulness to sleep, and dissipate at sleep onset. For individuals with insomnia, alpha power is elevated during the wake-sleep transition and can…

系统与控制 · 电气工程与系统科学 2023-11-01 Scott Bressler , Ryan Neely , Heather Read , Ryan Yost , David Wang

Electrically-driven light emission from carbon nanotubes could be exploited in nano-scale lasers and single-photon sources, and has therefore been the focus of much research. However, to date, high electric fields and currents have been…

介观与纳米尺度物理 · 物理学 2010-05-03 Thomas Mueller , Megumi Kinoshita , Mathias Steiner , Vasili Perebeinos , Ageeth A. Bol , Damon B. Farmer , Phaedon Avouris

Eye tracking technology is frequently utilized to diagnose eye and neurological disorders, assess sleep and fatigue, study human visual perception, and enable novel gaze-based interaction methods. However, traditional eye tracking…

We use self-report and electrodermal activity (EDA) wearable sensor data from 77 nights of sleep on six participants to test the efficacy of EDA data for sleep monitoring. We used factor analysis to find latent factors in the EDA data, and…

机器学习 · 计算机科学 2019-03-26 William Romine , Tanvi Banerjee , Garrett Goodman

This study presents a comprehensive dataset capturing indoor environmental parameters, physiological responses, and subjective perceptions across three global cities. Utilizing wearable sensors, including smart eyeglasses, and a modified…

Direct and alternating current iontophoresis and electro-osmosis methodologies have provided new methods of transcutaneous drug delivery. A byproduct of such methods is lowering the electrical impedance of the electrode to skin contact, as…

医学物理 · 物理学 2017-11-06 Pavel Govyadinov , Sergei Turovets , Amanda Gunn , Don Tucker , Phan Luu

Electroencephalography (EEG) allows for source measurement of electrical brain activity. Particularly for inverse localization, the electrode positions on the scalp need to be known. Often, systems such as optical digitizing scanners are…

计算机视觉与模式识别 · 计算机科学 2019-08-13 Nils Gessert , Martin Gromniak , Marcel Bengs , Lars Matthäus , Alexander Schlaefer

Transition-edge sensors (TESs) have the potential to perform electron spectroscopic measurements with far greater measurement rates and efficiencies than can be achieved using existing electron spectrometers. Existing spectrometers filter…

仪器与探测器 · 物理学 2024-03-05 K. M. Patel , S. Withington , A. G . Shard , D. J. Goldie , C. N. Thomas

Fatigue detection is of paramount importance in enhancing safety, productivity, and well-being across diverse domains, including transportation, healthcare, and industry. This scientific paper presents a comprehensive investigation into the…

信号处理 · 电气工程与系统科学 2024-02-16 Ildar Rakhmatulin

Neural electrical activity is fundamental to brain function, underlying a range of cognitive and behavioral processes, including movement, perception, decision-making, and consciousness. Abnormal patterns of neural signaling often indicate…

神经元与认知 · 定量生物学 2025-09-03 Zhizhang Yuan , Fanqi Shen , Meng Li , Yuguo Yu , Chenhao Tan , Yang Yang

The last decade's market has been characterized by wearable devices, mainly smartwatches, edge, and cloud computing. A possible application of these technologies is to improve the safety of dangerous activities, especially driving motor…

新兴技术 · 计算机科学 2023-09-22 Jacopo Sini , Luigi Pugliese , Sara Groppo , Michele Guagnano , Massimo Violante

Neurophysiological recordings such as electroencephalography (EEG) offer accessible and minimally invasive means of estimating physiological activity for applications in healthcare, diagnostic screening, and even immersive entertainment.…

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…

人机交互 · 计算机科学 2016-09-05 Minna Huotilainen , Benjamin Cowley , Lauri Ahonen

Conventional scalp-based EEG systems are cumbersome to use, requiring extensive setup, restrictive wiring, and conductive gels that can dry out and limit long-term monitoring, while also carrying social stigma. As a result, there is…

神经元与认知 · 定量生物学 2026-04-27 Min Suk Lee , Abhinav Uppal , Ananya Thota , Chetan Pathrabe , Rommani Mondal , Akshay Paul , Yuchen Xu , Gert Cauwenberghs

Carbon nanotubes provide a unique system to study one-dimensional quantization phenomena. Scanning tunneling microscopy is used to observe the electronic wave functions that correspond to quantized energy levels in short metallic carbon…

Electropermeabilization is a clinical technique in cancer treatment to locally stimulate the cell metabolism. It is based on electrical fields that change the properties of the cell membrane. With that, cancer treatment can reach the cell…

偏微分方程分析 · 数学 2016-03-03 Habib Ammari , Thomas Widlak , Wenlong Zhang

Brain biometrics based on electroencephalography (EEG) have been used increasingly for personal identification. Traditional machine learning techniques as well as modern day deep learning methods have been applied with promising results. In…