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Related papers: Predicting Performance Under Stressful Conditions …

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The stress detection problem is receiving great attention in related research communities. This is due to its essential part in behavioral studies for many serious health problems and physical illnesses. There are different methods and…

Human-Computer Interaction · Computer Science 2020-07-03 Seyed Amir Hossein Aqajari , Emad Kasaeyan Naeini , Milad Asgari Mehrabadi , Sina Labbaf , Amir M. Rahmani , Nikil Dutt

Biosensors and wearable sensor systems with transmitting capabilities are currently developed and used for the monitoring of health data, exercise activities, and other performance data. Unlike conventional approaches, these devices enable…

Human-Computer Interaction · Computer Science 2020-11-12 Birgitta Dresp-Langley

Driver stress is a major cause of car accidents and death worldwide. Furthermore, persistent stress is a health problem, contributing to hypertension and other diseases of the cardiovascular system. Stress has a measurable impact on heart…

Machine Learning · Computer Science 2023-11-14 Ashkan Parsi , David O'Callaghan , Joseph Lemley

The relation between performance and stress is described by the Yerkes-Dodson Law but varies significantly between individuals. This paper describes a method for determining the individual optimal performance as a function of physiological…

Human-Computer Interaction · Computer Science 2015-07-15 Francisco Hernando-Gallego , Antonio Artés-Rodríguez

Stress can be seen as a physiological response to everyday emotional, mental and physical challenges. A long-term exposure to stressful situations can have negative health consequences, such as increased risk of cardiovascular diseases and…

Machine Learning · Computer Science 2017-11-20 Aaqib Saeed , Stojan Trajanovski

This paper presents a model for predicting a driver's stress level up to one minute in advance. Successfully predicting future stress would allow stress mitigation to begin before the subject becomes stressed, reducing or possibly avoiding…

Machine Learning · Computer Science 2021-06-15 Joseph Clark , Rajdeep Kumar Nath , Himanshu Thapliyal

Chronic stress can significantly affect physical and mental health. The advent of wearable technology allows for the tracking of physiological signals, potentially leading to innovative stress prediction and intervention methods. However,…

Machine Learning · Computer Science 2023-08-08 Tanvir Islam , Peter Washington

Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature, biological or biochemical markers, and individual grip…

Background and Objectives: This paper focuses on using AI to assess the cognitive function of older adults with mild cognitive impairment or mild dementia using physiological data provided by a wearable device. Cognitive screening tools are…

Neurons and Cognition · Quantitative Biology 2025-11-10 Assma Habadi , Milos Zefran , Lijuan Yin , Woojin Song , Maria Caceres , Elise Hu , Naoko Muramatsu

Introduction. The stress response has both subjective, psychological and objectively measurable, biological components. Both of them can be expressed differently from person to person, complicating the development of a generic stress…

Artificial Intelligence · Computer Science 2023-04-18 Gideon Vos , Kelly Trinh , Zoltan Sarnyai , Mostafa Rahimi Azghadi

Level of emotional arousal of one's body changes in response to external stimuli in an environment. Given the risks involved while crossing streets, particularly at unsignalized mid-block crosswalks, one can expect a change in the stress…

Human-Computer Interaction · Computer Science 2021-12-08 Mahwish Mudassar , Arash Kalatian , Bilal Farooq

Stress is a complex issue with wide-ranging physical and psychological impacts on human daily performance. Specifically, acute stress detection is becoming a valuable application in contextual human understanding. Two common approaches to…

Machine Learning · Computer Science 2022-03-21 Van-Tu Ninh , Manh-Duy Nguyen , Sinéad Smyth , Minh-Triet Tran , Graham Healy , Binh T. Nguyen , Cathal Gurrin

With the growing popularity of wearable devices, the ability to utilize physiological data collected from these devices to predict the wearer's mental state such as mood and stress suggests great clinical applications, yet such a task is…

Machine Learning · Computer Science 2019-06-28 Abhinav Shaw , Natcha Simsiri , Iman Deznaby , Madalina Fiterau , Tauhidur Rahaman

Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors. Understanding the relation between an individual's behavioral patterns and psychological states can help identify…

Advances in commercial wearable devices are increasingly facilitating the collection and analysis of everyday physiological data. This paper discusses the theoretical and practical aspects of using such ambulatory devices for the detection…

Applications · Statistics 2019-10-15 Amit Birenboim , Martin Dijst , Floortje Scheepers , Maartje Poelman , Marco Helbich

This paper presents a comprehensive review of methods covering significant subjective and objective human stress detection techniques available in the literature. The methods for measuring human stress responses could include subjective…

Human-Computer Interaction · Computer Science 2023-06-08 Aamir Arsalan , Muhammad Majid , Imran Fareed Nizami , Waleed Manzoor , Syed Muhammad Anwar , Jihyoung Ryu

Since stress contributes to a broad range of mental and physical health problems, the objective assessment of stress is essential for behavioral and physiological studies. Although several studies have evaluated stress levels in controlled…

Machine Learning · Computer Science 2021-08-03 Ali Tazarv , Sina Labbaf , Stephanie M. Reich , Nikil Dutt , Amir M. Rahmani , Marco Levorato

To date, research on sensor-equipped mobile devices has primarily focused on the purely supervised task of human activity recognition (walking, running, etc), demonstrating limited success in inferring high-level health outcomes from…

Machine Learning · Computer Science 2020-11-10 Dimitris Spathis , Ignacio Perez-Pozuelo , Soren Brage , Nicholas J. Wareham , Cecilia Mascolo

With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an individual's physiological and psychological states, such as…

Machine Learning · Computer Science 2023-03-09 Berrenur Saylam , Özlem Durmaz İncel

Stress is a major threat to well-being that manifests in a variety of physiological and mental symptoms. Utilising speech samples collected while the subject is undergoing an induced stress episode has recently shown promising results for…

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