Browsing by Author "Chiang, Chuan-Yen"

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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.
A Project-based Curriculum for Teaching C plus plus Object-Oriented Programming
(2012)
Chen, Yen-Lin
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Chiang, Chuan-Yen
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Huang, Yo-Ping
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Yuan, Shyan-Ming
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資訊工程學系
This paper presented a project-based remedial curriculum for teaching the C++ programming language and object-oriented programming (OOP) skills and concepts. The pedagogical approach of the proposed curriculum comprises of a set of homemade projects for facilitating the students to quickly learn the essential C++ and OOP skills by accordingly implementing a large-scale communication software system. Based on the constructivist learning technology, the proposed project-based curriculum can effectively improve and enhance the learning effectiveness and interests of the students via the hands-on, minds-on, and learning by doing practices related to their lives. From the students\' survey and grade assessment results, the proposed project-based curriculum and practical homemade projects demonstrates its effectiveness and feasibility for motivating the students\' interests on C++ and OOP skills and incorporating these skills for developing practical and large-scale software.
A Traffic Video Searching and Sharing Platform based on Smart Wearable Devices
(2014-01-01)
Yuan, Shyan-Ming
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Chiang, Chuan-Yen
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Yang, Shian-Bo
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Chen, Yen-Lin
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資訊工程學系
Traffic accidents have become a major cause of death. Most traffic accidents are caused by driver carelessness on traffic conditions. The driving dispute is a critical problem for drivers when the car accident is happened. The drivers usually install the car video recorder in their car to recode their driving images in recent years. If a traffic accident being happened, the driver can provide a driving video file as an evidence to claim that they did not conduct any dangerous driving behaviors for protecting themselves from suspicions. However, under some such situations, drivers may not stay in their car accident when driving the car, but they have similar requirements for a video record, because they need to use those video files to find out the crime in some hit-and-run accidents. The goal of this paper is to develop a platform which can allow user to share their driving videos by using smart wearable devices and allow other users to search traffic video by some given specific time, date and location from the platforms\' database.
A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture
(2012-03-01)
Chen, Yen-Lin
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Chiang, Hsin-Han
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Chiang, Chuan-Yen
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Liu, Chuan-Ming
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Yuan, Shyan-Ming
This study proposes a vision-based intelligent nighttime driver assistance and surveillance system (VIDASS system) implemented by a set of embedded software components and modules, and integrates these modules to accomplish a component-based system framework on an embedded heterogamous dual-core platform. Therefore, this study develops and implements computer vision and sensing techniques of nighttime vehicle detection, collision warning determination, and traffic event recording. The proposed system processes the road-scene frames in front of the host car captured from CCD sensors mounted on the host vehicle. These vision-based sensing and processing technologies are integrated and implemented on an ARM-DSP heterogamous dual-core embedded platform. Peripheral devices, including image grabbing devices, communication modules, and other in-vehicle control devices, are also integrated to form an in-vehicle-embedded vision-based nighttime driver assistance and surveillance system.
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.
ATP: A Browser-based Distributed Testing Service Platform
(2016-01-01)
Chiang, Chuan-Yen
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Chang, Che-Pin
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Chen, Hung-Yu
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Chen, Yen-Lin
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Yuan, Shyan-Ming
In recent years, web services have become an indispensable part of our life. By use of personal computers, smart phones and wearable smart devices, people can enjoy the convenience brought by these web services and use them to not only enrich our daily life but also solve life issues. Thus, to more appropriately realize the performance of a web service, it is necessary to perform an overall and credible web service testing. Among the areas of current research and applications of web service testing issues, a tester can use a single-node testing tool to rapidly build a simple test environment on a single test node or LAN environment; the tester can also take advantage of the cloud testing method to create large-scale test environment. However, these existing tools and methods suffer some problems so that the test environment is neither close enough to the real context of the use cases nor able to meet tester's requirement (test node dispersion, resource management and ease of deploying a test, etc.). In this paper, we identify three essential requirements for web service testing applications (elastic test environment provisioning, large scale simulation capability, and geographical test support) and propose an efficient design of browser-based distributed testing service platform. As a result, the tester can significantly save their time and reduce the cost via the proposed of browser-based distributed testing service platform.
Automatic Rack Cabinet Management System for Data Center
(2013)
Yuan, Shyan-Ming
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Chiang, Chuan-Yen
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Chen, Meng-Jie
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Chen, Yen-Lin
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資訊工程學系
With the evolution of computer science technology the concept of clouds are kept booming. The management of a large number of computer and peripheral equipment becomes an important issue. For centrally managing such a large number of computers and peripheral equipment scattered in many long-distance locations, the IP-based peripheral equipment is presented in the market today. The smart automatic management which includes automatically handling the common equipment status and controlling the number of running computer is neglected. In addition, managers will usually want a semantic way to think about how to control these devices. This paper presents a user-configurable semantic control system which allows users define their own automation control processes. The prediction of computer status is used for energy control, and the intelligent home language SHPL is also adopted to describe the semantics of the process. The system achieves the cross-device automatic management using device status and the power-saving functionality is also provided.
Embedded On-road Nighttime Vehicle Detection and Tracking System for Driver Assistance
(2010)
Chen, Yen-Lin
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Chiang, Chuan-Yen
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資訊工程學系
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Department of Computer Science
This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving and implements it on an embedded system. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. Firstly, to effectively extract bright objects of interest, a segmentation process based on automatic multilevel thresholding applied on the grabbed road-scene images. Then the extracted bright objects are processed by to identify and tracking the vehicles by locating and analyzing the spatial and temporal features of vehicle light patterns and to estimate their distances to the camera-assisted car. Finally, we also implement the above vision-based techniques on a real-time system mounted in the host car. The proposed vision-based techniques are integrated and implemented on an ARM-Linux embedded platform, as well as the peripheral devices, including image grabbing devices, voice reporting module, and other in-vehicle control devices, will be also integrated to accomplish an in-vehicle embedded vision-based nighttime driver assistance system
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
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Yu, Chao-Wei
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Sun, Wei-Chen
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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.
Real-time Pedestrian Detection Technique for Embedded Driver Assistance Systems
(2015)
Chiang, Chuan-Yen
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Chen, Yen-Lin
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Ke, Kun-Cing
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Yuan, Shyan-Ming
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資訊工程學系
Fast detection of pedestrians moving across the roads is a big challenge for in-vehicle embedded systems. Because the shape features of on-road pedestrians are irregular and complex, so that the detection techniques cost large computational resources. However, the in-vehicle embedded systems only have limited computational resources. To resolve this challenge, we propose fast pedestrian detection algorithms based on histogram of oriented gradients (HOGs), and support vector machines (SVMs). The proposed techniques are evaluated and implemented on a digital signal processing (DSP) based embedded platform. The experimental results demonstrate that the proposed detection techniques can provide high computational efficiency and detection accuracy.
Vision-Based Finger Detection, Tracking, and Event Identification Techniques for Multi-Touch Sensing and Display Systems
(2011-07-01)
Chen, Yen-Lin
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Liang, Wen-Yew
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Chiang, Chuan-Yen
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Hsieh, Tung-Ju
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Lee, Da-Cheng
This study presents efficient vision-based finger detection, tracking, and event identification techniques and a low-cost hardware framework for multi-touch sensing and display applications. The proposed approach uses a fast bright-blob segmentation process based on automatic multilevel histogram thresholding to extract the pixels of touch blobs obtained from scattered infrared lights captured by a video camera. The advantage of this automatic multilevel thresholding approach is its robustness and adaptability when dealing with various ambient lighting conditions and spurious infrared noises. To extract the connected components of these touch blobs, a connected-component analysis procedure is applied to the bright pixels acquired by the previous stage. After extracting the touch blobs from each of the captured image frames, a blob tracking and event recognition process analyzes the spatial and temporal information of these touch blobs from consecutive frames to determine the possible touch events and actions performed by users. This process also refines the detection results and corrects for errors and occlusions caused by noise and errors during the blob extraction process. The proposed blob tracking and touch event recognition process includes two phases. First, the phase of blob tracking associates the motion correspondence of blobs in succeeding frames by analyzing their spatial and temporal features. The touch event recognition process can identify meaningful touch events based on the motion information of touch blobs, such as finger moving, rotating, pressing, hovering, and clicking actions. Experimental results demonstrate that the proposed vision-based finger detection, tracking, and event identification system is feasible and effective for multi-touch sensing applications in various operational environments and conditions.