Abstract
Individual effort toward wellness is the most important factor to prevent and manage health risks. Though physiological sensing devices and self-care applications support that, sensing devices of most existing mobile healthcare systems are very expensive and the service only provides basic notification about a patient’s condition. In this paper we propose a mobile self-care system using voice and facial images. The system consists of a health monitoring module and a symptom checking module. In the system emotion, age and gender information are acquired automatically by using distributed computing-based server-side multimodal emotion, age, and gender recognition system using voice and facial images. The user is then able to use their own voice and face effectively for wellness self-management.
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Lee, TH., Kwon, HJ., Kim, DJ., Hong, KS. (2009). Design and Implementation of Mobile Self-care System Using Voice and Facial Images. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7_34
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DOI: https://doi.org/10.1007/978-3-642-02868-7_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02867-0
Online ISBN: 978-3-642-02868-7
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