Relevant bibliographies by topics / Psychological stress detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Psychological stress detection'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Psychological stress detection"

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Hu, Dun, and Lifu Gao. "Psychological Stress Level Detection Based on Heartbeat Mode." Applied Sciences 12, no. 3 (2022): 1409. http://dx.doi.org/10.3390/app12031409.

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The effective detection and quantification of mental health has always been an important research topic. Heart rate variability (HRV) analysis is a useful tool for detecting psychological stress levels. However, there is no consensus on the optimal HRV metrics in psychological assessments. This study proposes an HRV analysis method that is based on heartbeat modes to detect drivers’ stress. We used statistical tools for linguistics to detect and quantify the structure of the heart rate time series and summarized different heartbeat modes in the time series. Based on the k-nearest neighbors (k-
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Suhartono, Derwin, Irfan Fahmi Saputra, Andhika Rizki Pratama, and Gabriel Nathaniel. "Psychological Stress Detection Using Transformer-Based Models." ComTech: Computer, Mathematics and Engineering Applications 15, no. 1 (2024): 65–71. http://dx.doi.org/10.21512/comtech.v15i1.11105.

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Stress is a significant mental health problem that results in a lack of concentration. It has been more widely identified through social media since people who are under stress usually post about their physical pain and tiredness. However, stress assessment through social media by professionals can be expensive and time-consuming. The research aimed to produce a stress detection system trained using a Twitter dataset to predict stress using the user’s input sentence. The experiments that were done in the research used transformer-based models such as Bidirectional Encoder Representations from
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Liu, Yun, and Siqing Du. "Psychological stress level detection based on electrodermal activity." Behavioural Brain Research 341 (April 2018): 50–53. http://dx.doi.org/10.1016/j.bbr.2017.12.021.

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Zhuang, Muni, Dongsheng Cheng, Xin Lu, and Xu Tan. "Postgraduate psychological stress detection from social media using BERT-Fused model." PLOS ONE 19, no. 10 (2024): e0312264. http://dx.doi.org/10.1371/journal.pone.0312264.

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Postgraduate students face various academic, personal, and social stressors that increase their risk of anxiety, depression, and suicide. Identifying cost-effective methods of detecting and intervening before stress turns into severe problems is crucial. However, existing stress detection methods typically rely on psychological scales or devices, which can be complex and expensive. Therefore, we propose a BERT-fused model for rapidly and automatically detecting postgraduate students’ psychological stress via social media. First, we construct an improved BERT-LDA feature extraction algorithm to
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Li, Yaling. "Psychological Stress Detection and Early Warning System Based on Wireless Network Transmission." Scientific Programming 2021 (August 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/3739045.

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To improve the accuracy of stress detection and stress warning errors, this paper designed a new psychological stress detection and warning system based on wireless network transmission. To achieve this objective, we established a real-time setup. The hardware of the system is composed of pulse acquisition module, signal low-pass filtering and amplification module, real-time clock module, wireless network transmission module, and power supply module, respectively. Based on the aforementioned hardware platform, the system software is designed, mainly through the construction of pulse signal noi
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Chen, Tong, Peter Yuen, Mark Richardson, Guangyuan Liu, and Zhishun She. "Detection of Psychological Stress Using a Hyperspectral Imaging Technique." IEEE Transactions on Affective Computing 5, no. 4 (2014): 391–405. http://dx.doi.org/10.1109/taffc.2014.2362513.

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Hendryani, Atika, Dadang Gunawan, Mia Rizkinia, Rinda Nur Hidayati, and Frisa Yugi Hermawan. "Real-time stress detection and monitoring system using IoT-based physiological signals." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2807–15. http://dx.doi.org/10.11591/eei.v12i5.5132.

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Currently, medical experts use psychophysiological questionnaires to evaluate human stress levels during counseling or interviews. Typically, biochemical samples use urine, saliva, and blood samples to identify the effects of stress on the human body. This research explains that stress detection can be done by analyzing psychological signals and the importance of monitoring stress levels. The authors develop research on stress detection based on psychological signals. The system then processes the recorded data; the android application displays the calculation results. The database can also be
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Manhai Li, Manhai Li, and Xunyi Zheng Manhai Li. "Development and Evaluation on The Framework Design of A Continuous Mental Stress Monitor Based on Contactless Sensors and Internet Technology Applications." 網際網路技術學刊 25, no. 1 (2024): 051–59. http://dx.doi.org/10.53106/160792642024012501005.

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<p>Due to the impact of COVID-19 pandemic, there are quite a few concerns on organizations or companies with the capability in quickly and timely detecting psychological vulnerability level of employees and predicting potential risk behaviors. Regarding the application of daily health monitoring, ordinary camera is used to non-contact capture the shallow blood changes under the face, using algorithm to identify the physiological signs of human body, such as blood oxygen, blood pressure, respiration, and heart rate. With the rapid advancement of Internet technology, it not only assists th
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Uchida, Rina, Mai Sugimoto, Yasushi Mitsunaga, et al. "Aptamer Based Stress Detection Biosensor." ECS Meeting Abstracts MA2024-02, no. 54 (2024): 3658. https://doi.org/10.1149/ma2024-02543658mtgabs.

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Depression is one of the most common mental disorders, and stress is a major factor behind the occurrence of depressive symptoms. Stress refers to the internal reaction of the body to an external stimulus, and the external stimulus that causes stress is called a stressor. Stressors can be broadly classified into physical and chemical stressors, physiological stressors, and psychological and social stressors. Among these, humans are particularly affected by psychological and social stressors. Therefore, it is very important to accurately assess the level of psychological and social stress in da
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Tasnim, Tasnim, Sugireng Sugireng, Imran Imran, and Nur Illiyyin Akib. "Analysis of differences in early detection of chronic kidney disease with urine creatinine, proteins and individual health status based on behavioural, stress and genetic factors in Kendari City, Indonesia." Public Health of Indonesia 10, no. 2 (2024): 203–13. http://dx.doi.org/10.36685/phi.v10i2.801.

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Background:Early detection of chronic kidney disease needs to be developed because the prevalence of chronic kidney disease continues to increase in Kendari City, Indonesia. Objective:The study aimed to analyse of differences in early detection of chronic kidney disease with urine proteins, creatinine, and individual health status based on behaviours, psychological-stress environment and genetic factors in Kendari City, Indonesia. Methods:This research used quantitative method with a cross sectional study approach. This study was conducted in Kendari City, Southeast Sulawesi, Indonesia, which
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Dissertations / Theses on the topic "Psychological stress detection"

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DeChant, Mallory. "The Effects of Climate, Psychological, and Physical Stressors on Human Remains Detection Canines." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2276.

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Ten canines were utilized in a repeated design to examine the effects of stress associated with work on activity expenditure, core body temperature, and salivary cortisol. However, only eight canines had valid data results due to the ninth canine having a metabolic syndrome that was not diagnosed. The tenth canine was removed from the study prior to initiation of the search scenario due to aggression. The objective was to observe the impact of stressors associated with work on activity expenditure, core body temperature, and salivary cortisol in human remains detection canines. Nine canines we
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Yeh, Chau-Che, and 葉兆哲. "Psychological Stress Detection Based on Physiological Signals." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/57985439315950194113.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>104<br>Psychological stress is one of the major causes of physical and psychological diseases in the modern world that more than 70% hospital visitors are linked to it. Stress also results more than 200 billion economic loss in U.S. Therefore, we hope the stress research can detect stress in daily life in the future and improve health and well-beings of humankind. We did 2 experiments in this research. Experiment 1 figures out the affective stimuli from relaxed to stressful is Quadrant 4  Quadrant 1  Quadrant 3  Quadrant 2. Experiment 2 proves that the stimuli se
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Leahy, Catherine. "Peer responses to psychologically distressed tertiary students: the detection of distress and the helping behaviours of student colleagues from medicine, compared to psychology, law and mechanical engineering students." 2009. http://hdl.handle.net/2440/56314.

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Medical students experience elevated levels of psychological distress and they are reluctant to seek professional help for mental health problems. They are also reticent to notify authorities about colleagues experiencing psychological distress. Yet, young people are more likely to seek help from peers than from any other source and we know very little about the help that these peers provide to their distressed colleagues. The current research explored medical students’ approaches to colleagues experiencing psychological distress: firstly, to determine whether they notice the distress of colle
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Books on the topic "Psychological stress detection"

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T, Croyle Robert, ed. Psychosocial effects of screening for disease prevention and detection. Oxford University Press, 1995.

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Selye, Hans. Stress without distress. Corgi, 1987.

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Kellerman, Jonathan. Billy Straight: A novel. Ballantine House, 1999.

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Kellerman, Jonathan. Billy Straight. Random House, 1999.

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Kellerman, Jonathan. Billy Straight. Random House, 1999.

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Kellerman, Jonathan. Billy Straight: A novel. Random House Large Print, 1998.

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Wells, H. G. The invisible man. G.K. Hall, 1996.

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Wells, H. G. The invisible man: The island of Dr. Moreau. Reader's Digest Association, 2004.

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Wells, H. G. The invisible man. ICON Classics, 2005.

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Wells, H. G. The invisible man. G.K. Hall, 1995.

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Book chapters on the topic "Psychological stress detection"

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Zhao, Liang, Hao Wang, Yuanyuan Xue, Qi Li, and Ling Feng. "Psychological Stress Detection from Online Shopping." In Web Technologies and Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45814-4_35.

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Sardeshpande, Kaushik, and Vijaya R. Thool. "Psychological Stress Detection Using Deep Convolutional Neural Networks." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4018-9_17.

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Chen, Wei, Shixin Zheng, and Xiao Sun. "Introducing MDPSD, a Multimodal Dataset for Psychological Stress Detection." In Big Data. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0705-9_5.

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Obeta, Uchejeso Mark, Nkereuwem Sunday Etukudoh, Bijoy Chhetri, and Lalit Mohan Goyal. "Tertiary Students Stress Detection During Online Learning in Jos, Nigeria." In Predictive Analytics of Psychological Disorders in Healthcare. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1724-0_12.

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Lombardi, Livia, and Federica Marcolin. "Psychological Stress Detection by 2D and 3D Facial Image Processing." In Progresses in Artificial Intelligence and Neural Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5093-5_16.

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Jin, Li, Yuanyuan Xue, Qi Li, and Ling Feng. "Integrating Human Mobility and Social Media for Adolescent Psychological Stress Detection." In Database Systems for Advanced Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32049-6_23.

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Soni, Sheetal, and Usha Yadav. "COVID-19 Impact on Online Learning: A Statistical and Machine Learning Model Analysis for Stress Detection." In Predictive Analytics of Psychological Disorders in Healthcare. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1724-0_7.

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Sevil, M., M. Rashid, R. Askari, L. Sharp, L. Quinn, and A. Cinar. "Detection and Classification of Acute Psychological Stress in Free-Living: Challenges and Achievements." In Human Activity and Behavior Analysis. CRC Press, 2024. http://dx.doi.org/10.1201/9781003371540-14.

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Rastogi, Rohit, D. K. Chaturvedi, Santosh Satya, et al. "Intelligent Analysis for Personality Detection on Various Indicators by Clinical Reliable Psychological TTH and Stress Surveys." In Computational Intelligence in Pattern Recognition. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9042-5_12.

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Amiruldin, Amirul Aidy, and Aimi Shazwani Ghazali. "You Are Too Loud! Classification of Psychological Conditions for Stress Detection System Using Galvanic Skin Response." In Enabling Industry 4.0 through Advances in Mechatronics. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2095-0_6.

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Conference papers on the topic "Psychological stress detection"

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Barygina, Victoria, Enrico Baria, Francesco Goretti, Elena Cravero, and Francesco Saverio Pavone. "Multispectral optical sensor for psychological stress detection." In Label-free Biomedical Imaging and Sensing (LBIS) 2025, edited by Natan T. Shaked and Oliver Hayden. SPIE, 2025. https://doi.org/10.1117/12.3041220.

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Ahmadasas, Mohammad, Mudassir M. Rashid, Mahmoud M. Abdel-Latif, Andrew Shahidehpour, Mate Siket, and Ali Cinar. "Detecting and Mitigating Psychological Stress Effects on Glycemia in Type 1 Diabetes." In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE, 2024. https://doi.org/10.1109/bsn63547.2024.10780678.

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Liu, Yu-zhong, Hua-liang Li, Jianmin Wang, Haochuan Zhang, and Xiaojun Zheng. "Psychological stress detection based on heart rate variability." In International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), edited by Yang Yue. SPIE, 2023. http://dx.doi.org/10.1117/12.2668856.

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Turcan, Elsbeth, Smaranda Muresan, and Kathleen McKeown. "Emotion-Infused Models for Explainable Psychological Stress Detection." In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.naacl-main.230.

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Tajuddin, Mohd, M. Kabeer, and Mohammed Misbahuddin. "Analysis of Social Media for Psychological Stress Detection using Ontologies." In 2020 Fourth International Conference on Inventive Systems and Control (ICISC). IEEE, 2020. http://dx.doi.org/10.1109/icisc47916.2020.9171082.

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Gwak, Migyeong, Tyler Davis, Majid Sarrafzadeh, and Ellen Woo. "Psychological Stress Detection in Older Adults with Cognitive Impairment Using Photoplethysmography." In 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). IEEE, 2021. http://dx.doi.org/10.1109/ichi52183.2021.00040.

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Lin, Huijie, Jia Jia, Quan Guo, et al. "User-level psychological stress detection from social media using deep neural network." In MM '14: 2014 ACM Multimedia Conference. ACM, 2014. http://dx.doi.org/10.1145/2647868.2654945.

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Shaw, Bishal, Sriparna Saha, Santosh Kumar Mishra, and Angshuman Ghosh. "Investigations in Psychological Stress Detection from Social Media Text using Deep Architectures." In 2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 2022. http://dx.doi.org/10.1109/icpr56361.2022.9956639.

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Lin, Huijie, Jia Jia, Quan Guo, et al. "Psychological stress detection from cross-media microblog data using Deep Sparse Neural Network." In 2014 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2014. http://dx.doi.org/10.1109/icme.2014.6890213.

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Winata, Genta Indra, Onno Pepijn Kampman, and Pascale Fung. "Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8461990.

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