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- research-articleOctober 2023
Performance Exploration of RNN Variants for Recognizing Daily Life Stress Levels by Using Multimodal Physiological Signals
ICMI '23: Proceedings of the 25th International Conference on Multimodal InteractionPages 481–487https://doi.org/10.1145/3577190.3614159Enduring stress can have negative impacts on human health and behavior. Widely used wearable devices are promising for assessing, monitoring and potentially alleviating high stress in daily life. Although numerous automatic stress recognition studies ...
- research-articleOctober 2021
Multi-modal Stress Recognition Using Temporal Convolution and Recurrent Network with Positional Embedding
MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis ChallengePages 37–42https://doi.org/10.1145/3475957.3484453Chronic stress causes cancer, cardiovascular disease, depression, and diabetes, therefore, it is profoundly harmful to physiologic and psychological health. Various works have examined ways to identify, prevent, and manage people's stress conditions by ...
- abstractOctober 2021
MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 5706–5707https://doi.org/10.1145/3474085.3478582The 2nd Multimodal Sentiment Analysis (MuSe) 2021 Challenge-based Workshop is held in conjunction with ACM Multimedia'21. Two datasets are provided as part of the challenge. Firstly, the MuSe-CaR dataset, which focuses on user-generated, emotional ...
- research-articleMarch 2020
Respiration signal based two layer stress recognition across non-verbal and verbal situations
SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied ComputingPages 638–645https://doi.org/10.1145/3341105.3373853It is effective to recognize one's stress state before the stress incurs several health problems. Various works have recognized stress state (e.g., stressed or not) utilizing multiple physiological signals which change as one becomes stressed. They have ...
- research-articleSeptember 2017
Multimodal data collection framework for mental stress monitoring
UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable ComputersPages 822–829https://doi.org/10.1145/3123024.3125616Accurate recognition of people's responses to stress and timely management of stress is one of the important aspects of maintaining good health. However, recognizing such reactions is difficult since people react to stressful events in various ways. ...
- research-articleMay 2015
How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving
- Antonio Lanata,
- Gaetano Valenza,
- Alberto Greco,
- Claudio Gentili,
- Riccardo Bartolozzi,
- Francesco Bucchi,
- Francesco Frendo,
- Enzo Pasquale Scilingo
IEEE Transactions on Intelligent Transportation Systems (TITS), Volume 16, Issue 3Pages 1505–1517https://doi.org/10.1109/TITS.2014.2365681This paper reports on the autonomic nervous system (ANS) changes and driving style modifications as a response to incremental stressing level stimulation during simulated driving. Fifteen subjects performed a driving simulation experiment consisting of ...
- research-articleNovember 2014
Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits
MM '14: Proceedings of the 22nd ACM international conference on MultimediaPages 477–486https://doi.org/10.1145/2647868.2654933Research has proven that stress reduces quality of life and causes many diseases. For this reason, several researchers devised stress detection systems based on physiological parameters. However, these systems require that obtrusive sensors are ...
- ArticleOctober 2014
Sensors Classification for Stress Analysis: Toward Automatic Stress Recognition
IIKI '14: Proceedings of the 2014 International Conference on Identification, Information and Knowledge in the Internet of ThingsPages 117–121https://doi.org/10.1109/IIKI.2014.31Stress affects people's health and well-being of the world's economies. Despite the progress in physiological stress recognition, there are problems that require solutions in the creation of automated systems of stress determination in prolonged real-...
- research-articleMay 2013
Modeling stress recognition in typical virtual environments
PervasiveHealth '13: Proceedings of the 7th International Conference on Pervasive Computing Technologies for HealthcarePages 17–24https://doi.org/10.4108/icst.pervasivehealth.2013.252011Stress is a major problem in our world today motivating objective understanding of how average individuals respond to stress in a typical activities. The main aim for this paper is to determine whether stress can be recognized using individual-...
- research-articleSeptember 2012
Understanding physiological responses to stressors during physical activity
UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous ComputingPages 270–279https://doi.org/10.1145/2370216.2370260With advances in physiological sensors, we are able to understand people's physiological status and recognize stress to provide beneficial services. Despite the great potential in physiological stress recognition, there are some critical issues that ...
- ArticleOctober 2011
Call center stress recognition with person-specific models
Nine call center employees wore a skin conductance sensor on the wrist for a week at work and reported stress levels of each call. Although everyone had the same job profile, we found large differences in how individuals reported stress levels, with ...
- research-articleMarch 2010
Discriminating stress from cognitive load using a wearable EDA device
IEEE Transactions on Information Technology in Biomedicine (TITB), Volume 14, Issue 2Pages 410–417https://doi.org/10.1109/TITB.2009.2036164The inferred cost of work-related stress call for prevention strategies that aim at detecting early warning signs at the workplace. This paper goes one step towards the goal of developing a personal health system for detecting stress. We analyze the ...
- ArticleAugust 2009
Stress Detection Using Speech Spectrograms and Sigma-pi Neuron Units
ICNC '09: Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 02Pages 260–264https://doi.org/10.1109/ICNC.2009.59This paper presents a new system for automatic stress detection in speech. In the process of feature extraction speech spectrograms were used as the primary features. The sigma-pi neuron cells were then employed to derive the secondary features. The ...