Stress Model

Stress modeling research aims to accurately predict and understand stress responses across diverse contexts, from material science to mental health. Current efforts focus on improving model accuracy and generalizability using techniques like deep neural networks, particularly convolutional and recurrent architectures, along with meta-learning and self-supervised learning to address data limitations and individual variability. These advancements are crucial for enhancing the reliability of stress predictions in various applications, including personalized healthcare interventions, improved material design, and more robust forecasting models. The ultimate goal is to develop more accurate and universally applicable stress models that can be used to improve decision-making and outcomes in a wide range of fields.

Papers

October 16, 2024

Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep P. Chinchali
Synthetic Data Participation Constraint Posterior Sampling Diffusion Sampling Time Series Generation Stress Model

October 14, 2024

Tracing Human Stress from Physiological Signals using UWB Radar
Jia Xu, Teng Xiao, Pin Lv, Zhe Chen, Chao Cai, Yang Zhang, Zehui Xiong
Physiological Signal Ultra Wideband Stress Detection Human Stress Stress Model

June 24, 2024

Meta-learning and Data Augmentation for Stress Testing Forecasting Models
Ricardo Inácio, Vitor Cerqueira, Marília Barandas, Carlos Soares
Data Augmentation Meta Learning Forecasting Model Univariate Time Series Forecasting Stress Testing Stress Model

November 29, 2023

Improving Minority Stress Detection with Emotions
Jonathan Ivey, Susan Gauch
Experienced Emotion Stress Detection Stress Model Minority Stress

November 3, 2023

Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics
Garrett Blum, Ryan Doris, Diego Klabjan, Horacio Espinosa, Ron Szalkowski
Deep Neural Network Greater Public Use Extension Study Stress Model Impact Mechanic Stress Strain

August 4, 2023

Personalization of Stress Mobile Sensing using Self-Supervised Learning
Tanvir Islam, Peter Washington
Self Supervised Learning Stress Detection Wearable Stress Stress Detection Model Stress Model

June 15, 2023

Employing Multimodal Machine Learning for Stress Detection
Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj, Ketan Kotecha
Stress Detection Multimodal Machine Learning Stress Model Stress Level

October 12, 2022

On the Generalizability of ECG-based Stress Detection Models
Pooja Prajod, Elisabeth André
Stronger Generalizability Electrocardiogram Representation Stress Datasets Stress Model Stress Biomarkers

September 29, 2022

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi
Systematic Literature Review Wearable Device Stress Detection Stress Datasets Stress Model Stress Biomarkers

January 3, 2022

Predicting Peak Stresses In Microstructured Materials Using Convolutional Encoder-Decoder Learning
Ankit Shrivastava, Jingxiao Liu, Kaushik Dayal, Hae Young Noh
Encoder Decoder Stress Field Stress Model