Title :
A Trusted Affective Model Approach to Proactive Health Monitoring System
Author :
Chao, Xu ; Zhiyong, Feng
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin
Abstract :
How to intensify real-time health monitoring to patients effectively and correctly is a crucial and acknowledged precondition for the adoption of new intelligent technologies such as affective and proactive computing. This paper proposed an overview of the approaches to build a reliable affective model on the basis of affective trust theory for high accurate health monitoring systems. Proactive environment was applied for health monitor to provide ideal environments and achieve monitor tasks by sensor or machine vision so as to minimize mistakes for patients in advance. A central design for trusted monitor report was how to capture patient´s affective expressions. In general, a person-independent affective model based on swift trust was proposed for specific patient´s facial expressions and biomedical signals were caught by sensor for swift trusted comparison with emotions. Based on cognitive analysis, the model could help analyze and void the crucial mistaken reports for real-time health monitoring systems.
Keywords :
computer vision; medical signal processing; patient monitoring; biomedical signals; machine vision; patient facial expression; person-independent affective model; proactive health monitoring system; sensor vision; trusted affective model approach; Biomedical computing; Biomedical monitoring; Biosensors; Computerized monitoring; Condition monitoring; Face recognition; Intelligent sensors; Patient monitoring; Real time systems; Sensor systems; affective computing; cooperation study; health monitoring system; proactive environment; trusted model;
Conference_Titel :
Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3561-6
DOI :
10.1109/FBIE.2008.52
