Deep learning framework for classification of mental stress from multimodal datasets

P Shermadurai, K Thiyagarajan - Revue d'Intelligence …, 2023 - search.proquest.com
A healthy society must take proper measures to handle human stress, a severe health risk.
To classify felt mental stress, this work offers an experimental inquiry to determine the proper …

Enhancing stress detection for students: Exploring the impact of fine-tuning and user-specific data calibration in deep learning

RA Ramachandra, J Santhosh, A Dengel… - International Journal of …, 2024 - jstage.jst.go.jp
This study presents a comprehensive investigation into stress detection among students,
focusing on multiple levels of stress assessment. This research aims to shed light on the …

Unobtrusive assessment of stress of office workers via analysis of their motion trajectories

E Vildjiounaite, V Huotari, J Kallio, V Kyllönen… - Pervasive and Mobile …, 2019 - Elsevier
Stress is the second most frequent work-related health problem in Europe, and it is important
to assess stress risks relatively early to diminish negative consequences. Automatic …

Stressors and algorithms used for stress detection: A review

TA Roldán-Rojo, E Rendón-Veléz… - 2021 9th International …, 2021 - ieeexplore.ieee.org
This systematic review groups and summarizes the algorithms used to detect the state of
stress and the physiological and behavioral features used to feed these algorithms …

Peer-vasive computing: Leveraging peers to enhance the accuracy of self-reports in mobile human studies

A Berrocal, K Wac - Proceedings of the 2018 ACM International Joint …, 2018 - dl.acm.org
We discuss two methods designed to increase the accuracy of human-labeled data. First,
Peer-ceived Momentary Assessment (Peer-MA), a novel data collection method inspired by …

Improving momentary stress measurement and prediction with bluetooth encounter networks

C Wu, M Boukhechba, L Cai, LE Barnes, MS Gerber - Smart Health, 2018 - Elsevier
Medical research has found strong connections between cognitive stress and various
physical and mental health conditions. This paper addresses the need for more timely, less …

College life is hard!-shedding light on stress prediction for autistic college students using data-driven analysis

TZ Islam, PW Liang, F Sweeney… - 2021 IEEE 45th …, 2021 - ieeexplore.ieee.org
Autistic college students face significant challenges in college settings and have a higher
dropout rate than neurotypical college students. High physiological distress, depression …

A hybrid assessment framework for human‐centred sustainable smart campus: A case study on COVID‐19 impact

C Yip, Y Zhang, E Lu, ZY Dong - IET Smart Cities, 2022 - Wiley Online Library
The continuous development of modern information and communication technologies is
driving the smart revolution in the global education system. The outbreak of the COVID‐19 …

Fast statistical timing analysis for circuits with post-silicon tunable clock buffers

B Li, N Chen, U Schlichtmann - 2011 IEEE/ACM International …, 2011 - ieeexplore.ieee.org
Post-Silicon Tunable (PST) clock buffers are widely used in high performance designs to
counter process variations. By allowing delay compensation between consecutive register …

Machine learning based academic stress management system

B Thanasekhar, N Gomathy, A Kiruthika… - 2019 11th …, 2019 - ieeexplore.ieee.org
Living with stress has become a part of our lifestyle. Stress is directly linked to cause long-
term health problems [1]. Students are no exceptions; they undergo stress and strains in …