StressNAS: Affect State and Stress Detection Using Neural Architecture Search-Reference-Cited by-同舟云学术

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StressNAS: Affect State and Stress Detection Using Neural Architecture Search

Published:2021-09-21 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
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Author:

Huynh Lam¹,Nguyen Tri²,Nguyen Thu²,Pirttikangas Susanna²,Siirtola Pekka²

Affiliation:

1. Center for Machine Vision and Signal Analysis, Finland

2. University of Oulu, Finland

Funder

The Academy of Finland 6Genesis Flagship

The Vision-based 3D perception for mixed reality applications project by the Infotech institute of the University of Oulu

TrustedMaaS project by the Infotech institute of the University of Oulu

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460418.3479320

Reference14 articles.

1. Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data

2. Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals

3. Continuous stress detection using a wrist device

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1. A Deep Learning Approach for Fear Recognition on the Edge Based on Two-Dimensional Feature Maps;IEEE Journal of Biomedical and Health Informatics;2024-07

2. Improved method for stress detection using bio-sensor technology and machine learning algorithms;MethodsX;2024-06

3. A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study;JMIR AI;2024-05-10

4. A Domain Generalization and Residual Network-Based Emotion Recognition from Physiological Signals;Cyborg and Bionic Systems;2024-01

5. Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis;Lecture Notes in Computer Science;2023-11-27

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