Real-time stress assessment through PPG sensor for VR biofeedback-Reference-Cited by-同舟云学术

Real-time stress assessment through PPG sensor for VR biofeedback

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Multimodal Interaction Adjunct - ICMI '18
language:
Short-container-title:

Author:

Chauhan Utkarsh¹,Reithinger Norbert²,Mackey John R.¹

Affiliation:

1. University of Alberta, Edmonton, Canada

2. German Research Center for Artificial Intelligence (DFKI GmbH), Berlin, Germany

Funder

German Federal Ministry of Education and Research

Publisher

ACM Press

Reference13 articles.

1. John Allen. 2007. Photoplethysmography and its application in clinical physiological measurement.Physiological Measurement28, 3.

2. Anders la Cour-Harbo and Arne Jensen. 2014.Ripples in mathematics: The discrete wavelet transform.Springer.

3. Inquisit 5 [Computer Software]. 2016. Retrieved from https://www.millisecond.com.

4. Avinash Parnandi and Ricardo Gutierrez-Osuna. 2015. Physiological Modalities for Relaxation Skill Transfer in Biofeedback Games. InIEEE Journal of Biomedical and Health Information21, 2.

5. Nuno Pinheiro, Ricardo Couceiro, Jorge Henriques, Jens Muehlsteff, Iago Quintal, Lino Goncalves, and Paulo de Carvalho. 2016. Can PPG be used for HRV analysis? In2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cited by 13 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. Integrating Biofeedback and Artificial Intelligence into eXtended Reality Training Scenarios: A Systematic Literature Review;Simulation & Gaming;2024-03-14

2. Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022);International Journal of Human–Computer Interaction;2024-02-13

3. Wavelet-Based Analysis of Photoplethysmogram for Stress Detection Using Convolutional Neural Networks;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19

4. Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic;Computer Methods and Programs in Biomedicine;2023-10

5. Mental Stress Detection Using a Wearable In-Ear Plethysmography;Biosensors;2023-03-17