SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features
10 references·0 citing·42 second hop
A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features (2025)A multi-modal deep learning approach for …Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices (2024)Predicting stress levels usin…Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review (2024)Personalized Stress Detection…Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review (2023)Generalizable machine learnin…A multimodal sensor dataset for continuous stress detection of nurses in a hospital (2022)A multimodal sensor dataset f…A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021)A Review on Mental Stress Det…Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress (2020)Extraction and Interpretation…Cognitive Training and Stress Detection in MCI Frail Older People Through Wearable Sensors and Machine Learning (2020)Cognitive Training and Stress…Detecting Moments of Stress from Measurements of Wearable Physiological Sensors (2019)Detecting Moments of Stress f…Large-scale wearable data reveal digital phenotypes for daily-life stress detection (2018)Large-scale wearable data rev…Stress Detection Using Wearable Physiological and Sociometric Sensors (2016)Stress Detection Using Wearab…Coefficient Alpha and the Internal Structure of Tests (1951)Cognitive Therapy and the Emotional Disorders (1975)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Electrodermal Activity Sensor for Classification of Calm/Distress Condition (2017)Machine Learning Approach for Stress Detection using Wireless Physical Activity Tracker (2018)Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques (2020)Measuring Functioning and Well-Being: The Medical Outcomes Study Approach (1992)The short‐form version of the Depression Anxiety Stress Scales (DASS‐21): Construct validity and normative data in a large non‐clinical sample (2005)Review of the Psychometric Evidence of the Perceived Stress Scale (2012)Stress detection using deep neural networks (2020)A machine-learning approach for stress detection using wearable sensors in free-living environments (2024)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)The Analysis of Spatial Association by Use of Distance Statistics (1992)Local Spatial Autocorrelation Statistics: Distributional Issues and an Application (1995)An Online Framework for Cognitive Load Assessment in Industrial Tasks (2022)Review of Stress Detection Methods Using Wearable Sensors (2024)Understanding Self-Report Bias in Organizational Behavior Research (2002)Ecological Momentary Assessment (2007)The Stroop Color and Word Test (2017)Machine Learning Based Stress Monitoring in Older Adults Using Wearable Sensors and Cortisol as Stress Biomarker (2021)Smart Wristband-Based Stress Detection Framework for Older Adults With Cortisol as Stress Biomarker (2021)Heart Rate Variability-Based Mental Stress Detection: An Explainable Machine Learning Approach (2023)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)StudentLife (2014)6th International Workshop on Mental Health and Well-being: Sensing and Intervention (2021)Detection and monitoring of stress using wearables: a systematic review (2024)Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Review on Psychological Stress Detection Using Biosignals (2019)A Survey on Wearable Sensors for Mental Health Monitoring (2023)Selective review of offline change point detection methods (2019)Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices (2023)Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review (2023)A daily stress inventory: Development, reliability, and validity (1987)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)A systematic review and Bayesian network meta-analysis on the efficacy and potential of mobile interventions for stress management (2025)Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data (2025)A Global Measure of Perceived Stress (1983)Scoping studies: towards a methodological framework (2005)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)
this work references cited by second hop

References

  • 2021A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques472 cited
  • 2018Large-scale wearable data reveal digital phenotypes for daily-life stress detection250 cited
  • 2019Detecting Moments of Stress from Measurements of Wearable Physiological Sensors241 cited
  • 2016Stress Detection Using Wearable Physiological and Sociometric Sensors209 cited
  • 2023Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review166 cited
  • 2022A multimodal sensor dataset for continuous stress detection of nurses in a hospital120 cited
  • 2020Cognitive Training and Stress Detection in MCI Frail Older People Through Wearable Sensors and Machine Learning113 cited
  • 2020Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress95 cited
  • 2024Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices89 cited
  • 2024Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review77 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work