Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-020-1530-z.pdf
Reference58 articles.
1. Ciman, M., Wac, K., & Gaggi, O.,. iSenseStress: Assessing stress through human-smartphone interaction analysis. In proceedings of the 9th international conference on pervasive computing Technologies for Healthcare. 84-91, 2015.
2. Can, Y. S., Arnrich, B., & Ersoy, C., Stress detection in daily life scenarios using smart phones and wearable sensors: A survey. J. Biomed. Inform., 103139, 2019.
3. Gjoreski, M., Luštrek, M., Gams, M., and Gjoreski, H., Monitoring stress with a wrist device using context. J. Biomed. Inform. 73:159–170, 2017.
4. Picard, R. W., Automating the recognition of stress and emotion: From lab to real-world impact. IEEE MultiMedia 23(3):3–7, 2016.
5. Stress is Killing You. http://www.who.int/occupational_health/topics/stressatwp/en/ Accessed: 06.11.2019.
Cited by 56 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Enhancing mental health prognosis: an investigation of advanced hybrid classifiers with cutting-edge feature engineering and fusion strategies;International Journal of Information Technology;2024-08-27
2. Academic stress detection based on multisource data: a systematic review from 2012 to 2024;Interactive Learning Environments;2024-08-06
3. Employing of machine learning and wearable devices in healthcare system: tasks and challenges;Neural Computing and Applications;2024-08-06
4. Hybrid Classifier for Optimizing Mental Health Prediction: Feature Engineering and Fusion Technique;International Journal of Mental Health and Addiction;2024-06-21
5. Personalized Stress Detection from Chest-Worn Sensors by Leveraging Machine Learning;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3