Designing an Experiment to Measure the Alert Fatigue of Different Alarm Sounds Using the Physiological Signals

Mapping Intimacies ◽

10.22260/isarc2021/0074 ◽

2021 ◽

Author(s):

Jeonghyeun Chae ◽

Youngcheol Kang

Keyword(s):

Physiological Signals ◽

Alert Fatigue ◽

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Emotion Monitoring Using Remote Measurement for Physiological Signals by Camera

Color and Imaging Conference ◽

10.2352/issn.2169-2629.2017.32.147 ◽

2016 ◽

Vol 2016 (1) ◽

pp. 147-151 ◽

Author(s):

Genki Okada ◽

Taku Yonezawa ◽

Kouki Kurita ◽

Norimichi Tsumura

Keyword(s):

Physiological Signals ◽

Remote Measurement

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An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188806 ◽

2020 ◽

Author(s):

Zhanpeng Zheng ◽

Zhong Yin ◽

Jianhua Zhang

Keyword(s):

Physiological Signals ◽

Cognitive Workload

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Physiological Signals, Activity and Posture for Surface Mounted Insertable Cardiac Monitor in Heart Failure Study

Case Medical Research ◽

10.31525/ct1-nct04112576 ◽

2019 ◽

Author(s):

Keyword(s):

Heart Failure ◽

Physiological Signals ◽

Cardiac Monitor ◽

Insertable Cardiac Monitor

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Human Emotion Recognition using Physiological Signals: A Survey

SSRN Electronic Journal ◽

10.2139/ssrn.3645402 ◽

2020 ◽

Author(s):

Abhishek Chunawale ◽

Manngesh Bedekar

Keyword(s):

Emotion Recognition ◽

Physiological Signals ◽

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Alert fatigue: A lesson relearned

American Journal of Health-System Pharmacy ◽

10.2146/ajhp100033 ◽

2010 ◽

Vol 67 (8) ◽

pp. 604-604

Author(s):

Jared J. Cash ◽

Stuart Levine

Keyword(s):

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Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network

Applied Intelligence ◽

10.1007/s10489-021-02309-2 ◽

2021 ◽

Author(s):

Jun Liao ◽

Dandan Liu ◽

Guoxin Su ◽

Li Liu

Keyword(s):

Physiological Signals ◽

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Research on Fatigue Detection Method of Equipment Operators Based on Multi-Source Physiological Signals

Journal of Physics Conference Series ◽

10.1088/1742-6596/1982/1/012067 ◽

2021 ◽

Vol 1982 (1) ◽

pp. 012067

Author(s):

Wen Guo ◽

Changan Di ◽

Li Long

Keyword(s):

Detection Method ◽

Physiological Signals ◽

Fatigue Detection

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Implementation of a sensor node for monitoring physiological signals with Websocket communication and data visualization in a node.js server over the Internet

2020 IEEE Engineering International Research Conference (EIRCON) ◽

10.1109/eircon51178.2020.9254049 ◽

2020 ◽

Author(s):

Ricardo Yauri Rodriguez ◽

Milton Rios Julcapoma

Keyword(s):

Data Visualization ◽

Sensor Node ◽

Physiological Signals ◽

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Recent Survey on Emotion Recognition Using Physiological Signals

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) ◽

10.1109/icaccs51430.2021.9441999 ◽

2021 ◽

Author(s):

Emily Joy ◽

Rehna Baby Joseph ◽

M.B Lakshmi ◽

Willson Joseph ◽

M. Rajeswari

Keyword(s):

Emotion Recognition ◽

Recent Survey ◽

Physiological Signals

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Emotion Recognition using Deep Convolutional Neural Network on Temporal Representations of Physiological Signals

2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) ◽

10.1109/icmlant50963.2020.9355990 ◽

2020 ◽

Author(s):

Gurwinder Singh ◽

Kanupriya Verma ◽

Neha Sharma ◽

Ashok Kumar ◽

Archana Mantri

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Emotion Recognition ◽

Deep Convolutional Neural Network ◽

Physiological Signals ◽

Temporal Representations

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