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In this position paper we describe select aspects of our experience with health-related self-tracking, the data generated, and processes surrounding those. In particular we focus on how bilateral patient-clinician engagement may be fostered…

Human-Computer Interaction · Computer Science 2018-01-22 Jakob Eg Larsen , Thomas Blomseth Christiansen , Kasper Eskelund

Posttraumatic Stress Disorder (PTSD) is a psychiatric condition affecting nearly a quarter of the United States war veterans who return from war zones. Treatment for PTSD typically consists of a combination of in-session therapy and…

Machine Learning · Computer Science 2022-10-12 Mahnoosh Sadeghi , Anthony D McDonald , Farzan Sasangohar

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

People often recognize what triggered their stress only after the moment has passed. In therapy, this can become a recurring problem: clients are asked to remember what happened between sessions, but the details that matter (where they…

Human-Computer Interaction · Computer Science 2026-04-28 Boyang Zhou , Zara Dana

Post Traumatic Stress Disorder is a psychiatric condition experienced by individuals after exposure to a traumatic event. Prior work has shown promise in detecting PTSD using physiological data such as heart rate. Despite the promise shown…

Human-Computer Interaction · Computer Science 2021-10-28 Mahnoosh Sadeghi , Farzan Sasangohar , Anthony D McDonald

Repeated exposure to blast overpressure in occupational settings has been associated with changes in cognitive and psychological health, as well as deficits in neurosensory subsystems. In this work, we describe a wearable system to…

Signal Processing · Electrical Eng. & Systems 2025-05-15 Jeremy P. Kemmerer , James R. Williamson , Joseph Kim , Elizabeth Halford , Hrishikesh M. Rao , Christopher J. Smalt

Monitoring and understanding affective states are important aspects of healthy functioning and treatment of mood-based disorders. Recent advancements of ubiquitous wearable technologies have increased the reliability of such tools in…

Human-Computer Interaction · Computer Science 2022-01-28 Salar Jafarlou , Jocelyn Lai , Zahra Mousavi , Sina Labbaf , Ramesh Jain , Nikil Dutt , Jessica Borelli , Amir Rahmani

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

Consumer wearables enable continuous measurement of physiological data related to stress and recovery, but turning these streams into actionable, personalized stress-management recommendations remains a challenge. In practice, users often…

Artificial Intelligence · Computer Science 2026-04-17 Esther Brown , Victoria Dean , Finale Doshi-Velez

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

Continuous monitoring of behavior and physiology via wearable devices offers a novel, objective method for the early detection of worsening depression and anxiety. In this study, we present an explainable anomaly detection framework that…

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

Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sensing research because real-time stress prediction can enable…

Machine Learning · Computer Science 2023-08-14 Tanvir Islam , Peter Washington

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

Recent advances in remote health monitoring systems have significantly benefited patients and played a crucial role in improving their quality of life. However, while physiological health-focused solutions have demonstrated increasing…

Machine Learning · Computer Science 2023-03-28 Shayan Fazeli , Lionel Levine , Mehrab Beikzadeh , Baharan Mirzasoleiman , Bita Zadeh , Tara Peris , Majid Sarrafzadeh

In today's fast-paced world, stress has become a growing health concern. While more automatic stress tracking technologies have recently become available on wearable or mobile devices, there is still a limited understanding of how they are…

Human-Computer Interaction · Computer Science 2021-01-15 Xianghua Ding , Shuhan Wei , Xinning Gui , Ning Gu , Peng Zhang

Mental health disorders remain a significant challenge in modern healthcare, with diagnosis and treatment often relying on subjective patient descriptions and past medical history. To address this issue, we propose a personalized mental…

Machine Learning · Computer Science 2023-07-12 Manan Shukla , Oshani Seneviratne

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

Wearables equipped with pervasive sensors enable us to monitor physiological and behavioral signals in our everyday life. We propose the WellAff system able to recognize affective states for wellbeing support. It also includes health care…

Timely stress detection is crucial for protecting vulnerable groups from long-term detrimental effects by enabling early intervention. Wearable devices, by collecting real-time physiological signals, offer a solution for accurate stress…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Gelei Xu , Ruiyang Qin , Zhi Zheng , Yiyu Shi
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