Browsing by Author "Yu, Chao-Wei"

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A CUSTOMIZED AND PORTABLE COMPONENT-BASED FRAMEWORK FOR INTELLIGENT HOMECARE SYSTEM DESIGN WITH VIDEO AND PHYSIOLOGICAL MONITORING MACHINERIES
(2011-10-01)
Chen, Yen-Lin
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Chiang, Chuan-Yen
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Yu, Chao-Wei
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Yuan, Shyan-Ming
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Hong, Zeng-Wei
This study proposes a customized and reusable component-based design framework based on the UML modeling process for intelligent home healthcare systems. All the proposed functional components are reusable, replaceable, and extensible for the system developers to implement customized home healthcare systems addressing different demands of patients and caregivers from healthcare monitoring aspects. The prototype design of the intelligent healthcare system based on these proposed components can provide the following features: (1) monitoring and recording videos of rehabilitation situations and patient behavior using multiple CCD cameras, which can be stored accordingly in an archive; (2) recording the patient's physiological data and corresponding treatment plan, which can be stored in an XML archiving database for caregivers' review; (3) automatically alerting patients to remind them of medication schedules or treatment plans, while recording the patient's treatment situations; (4) caregivers monitoring videos and physiological records of the patient's rehabilitation using handheld mobile devices via the Internet or wireless communication networks; and (5) caregivers and patients establishing alert mechanisms for the patients' physiological warning states. If the patient's physiological state suddenly deteriorates, the module would immediately alert caregivers by sending notification messages to their remote mobile devices or web browsers.
An Intelligent Knowledge-Based and Customizable Home Care System Framework with Ubiquitous Patient Monitoring and Alerting Techniques
(2012-08-01)
Chen, Yen-Lin
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Chiang, Hsin-Han
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Yu, Chao-Wei
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Chiang, Chuan-Yen
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Liu, Chuan-Ming
This study develops and integrates an efficient knowledge-based system and a component-based framework to design an intelligent and flexible home health care system. The proposed knowledge-based system integrates an efficient rule-based reasoning model and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment procedures based on software modules, video camera sensors, communication devices, and physiological sensor information. This knowledge-based system offers high flexibility for improving and extending the system further to meet the monitoring demands of new patient and caregiver health care by updating the knowledge rules in the inference mechanism. All of the proposed functional components in this study are reusable, configurable, and extensible for system developers. Based on the experimental results, the proposed intelligent homecare system demonstrates that it can accomplish the extensible, customizable, and configurable demands of the ubiquitous healthcare systems to meet the different demands of patients and caregivers under various rehabilitation and nursing conditions.
Real-time Eye Detection and Event Identification for Human-computer Interactive Control for Driver Assistance
(2014)
Chen, Yen-Lin
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Yu, Chao-Wei
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Chiang, Chuan-Yen
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Liu, Chin-Hsuan
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Sun, Wei-Chen
Eye movements can provide important information for human-computer interactive applications. Due to the progress of computer technology, the detecting accuracy and speed of pattern recognition are promoted. Additionally, according to research advances in embedded systems, the applications of digital cameras, such as internet cameras, smart phones and smart TV, and smart cars, are widely used in nowadays. Therefore, we propose a set of real-time human-eye detection and tracking systems with human-computer interaction applications. This technique can obtain eye movements and can be adopted as interactive control commands on driver assistance systems. The proposed system is implemented on an OMAP4430 for embedded applications, and experimental results show that the proposed architecture is capable of effective and real-time eye position detection and event identification for human-computer interactive applications on driver assistance systems.
Real-time Eye Tracking and Event Identification Techniques for Smart TV applications
(2014-01-01)
Chen, Yen-Lin
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Chiang, Chuan-Yen
;
Yu, Chao-Wei
;
Sun, Wei-Chen
;
Yuan, Shyan-Ming
Due to the progress of computer technology, the detecting accuracy and speed of pattern recognition are promoted. Additionally, according to research advances in embedded systems, the applications of digital cameras, such as internet cameras, smart phones and smart TV, are widely used in nowadays. Therefore, we propose a set of real-time human-eye recognition and tracking systems with human-computer interaction mechanism. It can be adopted to help the smart TV users or any device which have camera and computing power to improve their using experience. The proposed system is demonstrated on OMAP4430 for embedded applications, and experimental results show that the proposed architecture is capable of effective and real-time eye position tracking. The proposed system can also detect the status of eye blink. Even for the case of uneven lighting, the proposed system can successfully recognize the human eyes with high accuracy.