Abstract
We proposed a new healthcare system that focuses on emotional aspects to deal with negative emotional health in daily life. Our healthcare system integrates augmented reality to display virtual objects in real environments and Kinect, which allows users to freely interact with them. We also employ biological sensors to measure and detect user emotions, and provide three services based on their expected emotions: Relaxation Service, Amusement Service and Exciting Service. To implement a small prototype of this system, we have developed one application in relaxation service: Control Breathing Application. This application applied deep breathing techniques of stress management to supports users when they experience stress. This application displays a virtual music box to assist them perform deep breathing. Virtual objects and music can increase user relaxation and decrease their stress. The experiment is performed to measure the effectiveness of the application. From the result, our application can effectively decrease users stress when they experienced our application for short time.
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Tivatansakul, S., Ohkura, M.: Healthcare System Design Focusing on Emotional Aspects using Augmented Reality – Relaxed Service Design. In: IEEE Symposium Series on Computational Intelligence in Healthcare and e-Health (2013) (in press)
Antai-Otong, D.: Creative Stress-Management Techniques for Self-Renewal. Dermatology Nursing 13(1), 31–37 (2001)
FLARManager Augmented Reality in Flash, http://words.transmote.com/
Virtual Music Box: http://www.3dmodelfree.com/models/29549-0.htm
Vyas, M.P., Panse, M.S.: Various Methods to Detect Respiration Rate From ECG Using LabVIEW. In: International Conference on Biomedical Engineering and Assistive Technologies (2010)
Widjaja, D., Taelman, J., Vandeput, S., Braeken, M.A.K.A., Otte, R.A., Van den Bergh, B.R.H., Van Huffel, S.: ECG-Derived Respiration: Comparison and New Measures for Respiratory Variability. Computing in Cardiology, 149–152 (2010)
Arunachalam, S.P., Brown, L.F.: Real-Time Estimation of the ECG-Derived Respiration (EDR) Signal using a New Algorithm for Baseline Wander Noise Removal. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5681–5684 (2009)
Tivatansakul, S., Ohkura, M.: Healthcare System Design Focusing on Emotional Aspects using Augmented Reality - Re-Design of Control Breathing Application in Relaxation Service. In: 5th International Congress of International Association of Societies of Design Research (2013) (in submission)
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Tivatansakul, S., Ohkura, M. (2013). Healthcare System Focusing on Emotional Aspect Using Augmented Reality: Control Breathing Application in Relaxation Service. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39476-8_47
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DOI: https://doi.org/10.1007/978-3-642-39476-8_47
Publisher Name: Springer, Berlin, Heidelberg
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