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Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver's drowsiness level by monitoring the electroencephalogram (EEG) signal and taking preventative actions accordingly may improve driving safety.…

Human-Computer Interaction · Computer Science 2019-09-26 Yuqi Cuui , Yifan Xu , Dongrui Wu

The electroencephalogram (EEG) has been the gold standard for quantifying mental workload; however, due to its complexity and non-portability, it can be constraining. ECG signals, which are feasible on wearable equipment pieces such as…

Machine Learning · Computer Science 2026-01-13 Malavika Pradeep , Akshay Sasi , Nusaibah Farrukh , Rahul Venugopal , Elizabeth Sherly

Many research works indicate that EEG bands, specifically the alpha and theta bands, have been potentially helpful cognitive load indicators. However, minimal research exists to validate this claim. This study aims to assess and analyze the…

Signal Processing · Electrical Eng. & Systems 2022-03-03 Bujar Raufi , Luca Longo

IoT-based devices and wearable sensors are now common in daily life, with smartwatches, smartphones, and other digital tools tracking physical activity and health data. This lifelogging process provides valuable insights into people's…

Human-Computer Interaction · Computer Science 2025-03-13 Yu Peng , Guoqing Zhang , Huadong Pang

Understanding of neuro-dynamics of a complex higher cognitive process, Working Memory (WM) is challenging. In WM, information processing occurs through four subsystems: phonological loop, visual sketch pad, memory buffer and central…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Pankaj , Jamuna Rajeswaran , Divya Sadana

Background: Transcranial magnetic stimulation (TMS) is a powerful tool to investigate neurophysiology of the human brain and treat brain disorders. Traditionally, therapeutic TMS has been applied in a one-size-fits-all approach,…

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

In this paper, we present an experimental study for the classification of perceived human stress using non-invasive physiological signals. These include electroencephalography (EEG), galvanic skin response (GSR), and photoplethysmography…

Signal Processing · Electrical Eng. & Systems 2019-05-17 Aamir Arsalan , Muhammad Majid , Syed Muhammad Anwar , Ulas Bagci

Task engagement is defined as loadings on energetic arousal (affect), task motivation, and concentration (cognition). It is usually challenging and expensive to label cognitive state data, and traditional computational models trained with…

Computer Vision and Pattern Recognition · Computer Science 2016-10-24 Feng Li , Guangfan Zhang , Wei Wang , Roger Xu , Tom Schnell , Jonathan Wen , Frederic McKenzie , Jiang Li

Neurofeedback is a non-invasive brain training with long-term medical and non-medical applications. Despite the existence of several emotion regulation studies using neurofeedback, further investigation is needed to understand interactions…

Neurons and Cognition · Quantitative Biology 2020-06-19 Amin Dehghani , Hamid Soltanian-Zadeh , Gholam-Ali Hossein-Zadeh

Objective. We investigated the neural correlates of workload buildup in a fine visuomotor task called the boundary avoidance task (BAT). The BAT has been known to induce naturally occurring failures of human-machine coupling in high…

Neurons and Cognition · Quantitative Biology 2016-05-09 Sameer Saproo , Victor Shih , David C. Jangraw , Paul Sajda

Invasive electroencephalograph (EEG) recordings of ten patients suffering from focal epilepsy were analyzed using the method of renormalized entropy. Introduced as a complexity measure for the different regimes of a dynamical system, the…

Medical Physics · Physics 2009-10-31 K. Kopitzki , P. C. Warnke , J. Timmer

Executive functioning is a cognitive process that enables humans to plan, organize, and regulate their behavior in a goal-directed manner. Understanding and classifying the changes in executive functioning after longitudinal interventions…

Human-Computer Interaction · Computer Science 2024-02-01 Akash K Rao , Vishnu K Menon , Shashank Uttrani , Ayushman Dixit , Dipanshu Verma , Varun Dutt

In this work, we investigate how implicit neural feed back can accelerate reinforcement learning in complex robotic manipulation settings. While prior electroencephalogram (EEG) guided reinforcement learning studies have primarily focused…

Robotics · Computer Science 2025-11-25 Suzie Kim , Hye-Bin Shin , Hyo-Jeong Jang

This paper addresses the problem of the human operator cognitive workload estimation while controlling a robot. Being capable of assessing, in real-time, the operator's workload could help prevent calamitous events from occurring. This…

Robotics · Computer Science 2021-10-06 Paraskevas Chatzithanos , Grigoris Nikolaou , Rustam Stolkin , Manolis Chiou

Seasickness poses a widespread problem that adversely impacts both passenger comfort and the operational efficiency of maritime crews. Although attention shift has been proposed as a potential method to alleviate symptoms of motion…

Human-Computer Interaction · Computer Science 2025-07-24 Xiaoyu Bao , Kailin Xu , Jiawei Zhu , Haiyun Huang , Kangning Li , Qiyun Huang , Yuanqing Li

Human operators in human-robot teams are commonly perceived to be critical for mission success. To explore the direct and perceived impact of operator input on task success and team performance, 16 real-world missions (10 hrs) were…

The present study analyzes the changes in acceleration produced by swimmers before and after fatiguing effort. The subjects (n=15) performed a 25-meter crawl series at maximum speed without fatigue, and a second series with fatigue. The…

Medical Physics · Physics 2008-01-21 V. Tella , J. L. Toca-Herrera , J. E. Gallach , J. Benavent , L. M. Gonzalez , R. Arellano

The amount of power in different frequency bands of the electroencephalogram (EEG) carries information about the behavioral state of a subject. Hence, neurologists treating epileptic patients monitor the temporal evolution of the different…

Neurons and Cognition · Quantitative Biology 2020-06-17 Melisa Maidana Capitán , Nuria Cámpora , Claudio Sebastián , Sigvard Silvia Kochen , Inés Samengo

Objective: We aim to investigate long-term robotic surgical skill acquisition among surgical residents and the effects of training intervals and fatigue on performance. Methods: For six months, surgical residents participated in three…

Robotics · Computer Science 2025-03-28 Yarden Sharon , Alex Geftler , Hanna Kossowsky Lev , Ilana Nisky