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Automatic detection and tracking of emotional states has the potential for helping individuals with various mental health conditions. While previous studies have captured physiological signals using wearable devices in laboratory settings,…

信号处理 · 电气工程与系统科学 2024-01-12 Michal K. Grzeszczyk , Anna Lisowska , Arkadiusz Sitek , Aneta Lisowska

Wearable devices have revolutionized healthcare monitoring, allowing us to track physiological conditions without disrupting daily routines. Whereas monitoring physical health and physical activities have been widely studied, their…

人机交互 · 计算机科学 2024-06-19 Peter Traunmuller , Anice Jahanjoo , Soheil Khooyooz , Amin Aminifar , Nima TaheriNejad

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…

Previous menstrual health literature highlights a variety of signals not included in existing menstrual trackers because they are either difficult to gather or are not typically associated with menstrual health. Since it has become…

人机交互 · 计算机科学 2024-09-09 Georgianna Lin , Brenna Li , Helen Li , Chloe Zhao , Khai N Truong , Alex Mariakakis

We present results from a set of experiments in this pilot study to investigate the causal influence of user activity on various environmental parameters monitored by occupant carried multi-purpose sensors. Hypotheses with respect to each…

人机交互 · 计算机科学 2016-11-17 Ming Jin , Han Zou , Kevin Weekly , Ruoxi Jia , Alexandre M. Bayen , Costas J. Spanos

A growing number of wearable devices is becoming increasingly non-invasive, readily available, and versatile for measuring different physiological signals. This renders them ideal for inferring the emotional states of their users. Despite…

Daily monitoring of stress is a critical component of maintaining optimal physical and mental health. Physiological signals and contextual information have recently emerged as promising indicators for detecting instances of heightened…

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…

信号处理 · 电气工程与系统科学 2025-05-15 Jeremy P. Kemmerer , James R. Williamson , Joseph Kim , Elizabeth Halford , Hrishikesh M. Rao , Christopher J. Smalt

Wearable devices that measure and record physiological signals are now becoming widely available to the general public with ever-increasing affordability and signal quality. The data from these devices introduce serious ethical challenges…

计算机与社会 · 计算机科学 2024-05-27 Keith Davis , Tuukka Ruotsalo

Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite…

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…

人机交互 · 计算机科学 2020-11-12 Birgitta Dresp-Langley

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…

神经元与认知 · 定量生物学 2025-11-10 Assma Habadi , Milos Zefran , Lijuan Yin , Woojin Song , Maria Caceres , Elise Hu , Naoko Muramatsu

University students encounter various forms of stress during their academic journey, including cyclical stress associated with final exams. Supporting their well-being means helping them manage their stress levels. In this study, we used a…

计算机与社会 · 计算机科学 2024-02-20 Peter Neigel , Andrew Vargo , Benjamin Tag , Koichi Kise

Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to monitor our physiological signals. In this study, we address the question whether they can help us to recognize our emotions in our everyday life for…

Commercial wearables from Fitbit, Garmin, and Whoop have recently introduced real-time notifications based on detecting changes in physiological responses indicating potential stress. In this paper, we investigate how these new capabilities…

Detecting unsafe driving states, such as stress, drowsiness, and fatigue, is an important component of ensuring driving safety and an essential prerequisite for automatic intervention systems in vehicles. These concerning conditions are…

信号处理 · 电气工程与系统科学 2022-10-31 Kleanthis Avramidis , Tiantian Feng , Digbalay Bose , Shrikanth Narayanan

Affect recognition aims to detect a person's affective state based on observables, with the goal to e.g. provide reasoning for decision making or support mental wellbeing. Recently, besides approaches based on audio, visual or text…

人机交互 · 计算机科学 2018-11-22 Philip Schmidt , Attila Reiss , Robert Duerichen , Kristof Van Laerhoven

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…

机器学习 · 计算机科学 2021-08-03 Ali Tazarv , Sina Labbaf , Stephanie M. Reich , Nikil Dutt , Amir M. Rahmani , Marco Levorato

This study employs cutting-edge wearable monitoring technology to conduct high-precision, high-temporal-resolution (1-second interval) cognitive load assessment on electroencephalogram (EEG) data from the FP1 channel and heart rate…

人机交互 · 计算机科学 2024-07-04 Ling He , Yanxin Chen , Wenqi Wang , Shuting He , Xiaoqiang Hu

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…

人工智能 · 计算机科学 2023-04-18 Gideon Vos , Kelly Trinh , Zoltan Sarnyai , Mostafa Rahimi Azghadi
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