Intelligent Robot Lab
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    本組致力於智慧無線感測平台,利用此平台設計智慧節能演算法,以及健康照護服務。目前有以下三大方向:
    1. 非監督式之資料分群
    2. 居家智慧照護
    3. 居家智慧節能
    Our group is devoted to smart wireless sensor platform.
    By using the platform, we design energy saving algorithm and health care service. Currently, we have three research directions:
    1. Unsupervised data clustering
    2. Health Care Service in Smart Home
    3. Energy Saving in Smart Home













智慧居家活動排程系統:具需量反應機制之節能最佳化引擎

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    智慧家庭電能管理整合了周遭環境、使用者及用電的即時資訊,並依照當下 可用能源及負載進行最佳化排程管理。因此,智慧型計算的軟實力及系統整合的硬實力可謂是智慧電網向上發展不可或缺的重要關鍵,也是本多年期計畫的最終 的目標。在智慧型計算的軟實力上,於第一年先透過環境資訊的蒐集與 分析,針對該環境做智慧學習,建立節能模型。接著根據感測網路所提供的資訊, 發展出三個互相溝通之推論引擎模組。第二年使用所開發之推論引擎模組收集電 器使用狀態及使用者舒適度等資訊,發展一套智慧居家活動排程系統,根據使用 者預設定之活動列表及時間,在不影響使用者偏好情況下,利用時間電價、再生 能源及電池儲存設備等因素計算出最佳節省電費之活動順序排程。

Smart Home Activity Scheduling System

    Smart grids are essentially distribution networks equipped with technology for providing electricity suppliers and users with information to optimize the use of energy and therefore in favor of the energy providers and consumers since the energy providers benefit from the more balancing energy distribution and generation and the energy customers benefit from the lower cost of energy price and higher reliable electricity utility. The sub-project I on the progress in realizing the soft skill of the intelligent computing has developed the machine learning-based energy saving models. Three interacting inference engines were evolved to achieve the best energy saving strategy for smart home. With those application information and user’s activity preference, we developed a smart activity schedule system, it would give a schedule according to price tariff, renewable energy and battery storage system that compromise the users preference.

失智症照護之創新行動生活科技

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    在台灣,隨著人口老化,失智症患者人數呈現快速增加的趨勢,好發於高齡人口之失智症對個人健康、家庭經濟和國家財政所造成的影響與負擔日益嚴峻。失智症病患精神行為症狀表現多元,其頻率與嚴重程度同時也決定了照顧者的生活品質與負擔,更是病患須轉送到醫療或安養機構與否之關鍵。照顧者不僅要照顧失智症病患的生活及社交,更須因應其個別需求,耗費心力應對多元精神行為症狀,複雜的照護需求常讓照顧者也承擔莫大的壓力與負荷。有鑒於此,本計畫運用行動科技針對失智症患者、照顧者及醫療團隊來「觀察」、「覺知」、「同理」、「排除危機」、並「促進失智症患者的建康行為」。藉由建構智慧型照護環境、第一人稱視角影像紀錄與活動分析、個別化的生活與社交資訊平台輔助失智症患者的每日照護,及減輕照顧失智症患者的壓力與照護成本、提升失智症患者的生活品質,並探討「孝順」與「家庭復原力」對失智症家庭於照顧之影響,進一步了解所發展之行動科技是否確有助益。

Health Care Systme for Dementia Patients

    The number of dementia patients increases rapidly in Taiwan recently. Dementia has great impact on personal healthy, families’ and the national economy. Caregivers have to not only care daily living and social functioning of patients, but also to respond to the individual and demand of patients. As a result, caregivers are usually exhausted due to the pressure and burden of dementia patients. The objective of this project is therefore to develop innovative mobile technologies that assist both dementia patients and caregivers. More concretely, we want to develop mobile technologies that “observe”, “aware”, “empathize”, “prevent crisis” and “promote doing health behavior of patients with dementia”. By constructing smart healthcare environment and by recording the view with first-person perspective camera. In addition, we also propose a social care information platform to assist dementia patient. Our research results are able to reduce the pressure and cost of caring to patients with dementia and improve the quality of life of patients with dementia. Finally, we also investigate “filial piety” and “family resilience” that may cause impact to families care dementia patient in order to further understand whether development of mobile technology really improves quality of lives of the caregivers and patients with dementia.

M-CHESS: 植基於M2M架構且 情境感知的 居家智慧節能系統

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    本研究的目標是基於M2M基礎設施上來尋求情境感知的最佳節能策略,以機器學習技術進行群體行為辨識與使用者舒適度評估,同時在單人甚至多人的環境下能兼顧其舒適度的要求。M-CHESS是建構在一M2M的基礎設施上,並透過三個核心引擎來達到上述目標。分別為 1. 能源敏感的情境推論引擎 2. 使用者舒適度評估引擎 3. 節能決策支援引擎。

M-CHESS: Machine to Machine-based Context-aware Home Energy Saving System

    Mchess is aim to find a optimal solution to reduce the cost of users meanwhile preserve the user’s activity preference even in the multiple users environment. It is a combination of three engines, they are 1. Energy-Responsive Context Inference Engine, 2. User Comfort Evaluation Engine, 3. Energy Saving Decision Support Engine. By using machine learning, we can know about what activity that user is doing, and use this information with the environment sensor data, to decide which action the system can do automatically to help user feels better and reduce his/her cost.

CPS系統運用與協調最佳化研究

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    信息物理融合系統(Cyber Physical System)是一個透過結合電腦運算、感測器、及制動裝置的整合控制系統,讓人得以在時間、空間方面的感測及控制得以延伸;而隨著電腦軟硬體技術的進步,信息物理融合系統已逐漸普及於日常生活之中,並創造出各種不同於以往的生活體驗與應用。而在信息物理融合系統眾多可能的應用之中,能夠深入一般生活與人們頻繁互動的智慧空間是其中最重要的一項;而隨著醫療科技大幅躍進使得人們平均壽命延長,人口老化進而步入高齡化社會成為全球包括台灣在內所面臨的重要議題後,「在地老化(Aging in Place)」的理念逐漸興起,打造智慧空間以「家」為照護資源的概念為目前各國照護趨勢,而台灣的行政院衛生署於2008年起也開始推廣遠端照護計畫。本計畫將發展一個基於信息物理融合系統的智慧空間用以輔助年長者在地養老,提供一套健全完整之年長者居家照護系統。藉由信息物理融合系統為基礎並以活動辨識及分析為目的建構上述智慧照護環境,不僅隨時掌握年長者之日常生活活動(Activities of Daily Living, ADL)狀況,也提供分析行為特性與各行為間發生順序之關聯性解析。預期本計畫能夠深化信息物理融合系統於智慧空間的應用和以人為中心的最佳化協調方式,且設計實作出之系統所提供的服務可使家屬與醫護人員更加瞭解長者行為特性,並提昇年長者居家照護之生活品質。

Cyber Physical System

    A cyber-physical system (CPS) is a system of collaborating computational elements sensing and controlling physical entities, and it enables humans to extend the sensing/controlling capability in space and time. As the advance of computer technology in hardware and software, CPS has been applied in daily living pervasively and created lots of innovative experiences. Among all these applications, an important one is intelligent spaces, which interacts with humans frequently in daily living. With a substantial leap in medical technology makes it an average life expectancy, an aging population. Thus the aging society has become an important issue of the world, so a concept of "Aging in Place" has gradually rise. The current trend of the world is to build "smart care home" as care resources. And in 2008, the Taiwan Department of Health also began to promote the tele-healthcare plan. Therefore, this project will develop a CPS-based intelligent space for aging in place, which will focus on activity recognition and analysis. This intelligent space can help not only know elders' activities of daily living (ADL), but also understand the corresponding behavior patterns. This project will deliver a demonstration application of CPS in intelligent space with human-centric optimal coordination among CPS, which can improve the living quality of aging in place by further understanding the behavior patterns of elders.

老年癌症存活者之優之生活及健康促進系統

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    儘管醫療科技已大幅躍進,癌症治癒率與存活率已較過去大幅提升,使得國民平均壽命延長,但老年癌症存活者仍須面對疾病本身和治療所帶來的不適和壓力。因此,如何運用新興科技提昇癌症存活老人生活品質實為台灣在本世紀所要面臨最重要的課題之一。其中,身體活動與健康管理、社交活動能力及睡眠品質更是決定老年癌症存活者生活品質的關鍵。本計畫嘗試結合資訊、電機、癌症醫學、癌症護理、心理等領域之專家,著眼於「身體活動與健康管理」、「社交活動能力」及「睡眠品質」三個老年癌症存活者生活品質的關鍵議題,並結合台大醫院醫療團隊的專業知識,發展一系列量表與指標來評估並導引技術研發,藉以提昇老年癌症存活者之生活品質,達到品味長青之願景。 此計畫的三年研究,我們布置無線感測平台,建立不同面向之個人健康模型。使用支援向量資料描述分析生理韻律(Circadian Rhythm)建立健康警戒情境(Health Alert Context)模型。最後再加入以動態貝氏網路分析之健康初評。

Health Care Service for Elder Cancer Survivor

    Despite the prolonging of citizens’ life expectancy, the elderly cancer survivors still need to face disease itself and the discomfort and stress brought by the treatment. How to use emerging technology to enhance the quality of life for elderly cancer survivors in Taiwan is obviously one of the most important issues in the next few decades. Among them, physical activity and health management, social activity, and quality of sleep are the key points to determine the quality of life of elderly cancer survivors. This project aims to integrate the experts from the fields of computer science, electrical engineering, cancer medicine, nursing and psychology to build a Cancer-survivor HEalth Enhancing and Recovery System (CHEERS) focusing on "Physical Activity and Health Management", "social mobility," and "sleep quality" which are the key topics for the quality of life of elderly cancer survivors. In the last three years, we build a wireless sensor platform, and personal health models from different perspectives. First, we apply support vector data description to build Health Alert Context Model by analyzing circadian rhythm. Second, we give a health preliminary estimation by dynamic Bayesian network.

Title Name Duration Email

博士後研究    Post-doc

吳兆麟 Chao-Lin Wu   clwu at ieee.org

碩士後研究    Post-M.S.

蘇春芳 chun-fang su (2016-) allenascf at gmail.com

碩士研究生    M.S. student

鄭沛軒 David Zheng (2015-) david0000199 at yahoo.com.tw

碩士研究生    M.S. student

李梃穎 Ting-Ying Lee (2016-) k8314928 at gmail.com

碩士研究生    M.S. student

簡易緯 YI-WEI CHIEN (2016-) y.w.chien19931025 at gmail.com

碩士研究生    M.S. student

黃咨翰 tzu-han huang (2016-) Kobe8443 at gmail.com
Hshin-Huei Kuo, Chao-Lin Wu, Pei-Hsuan Cheng, Yifei Xie and Li-Chen Fu, “Dynamic Demand-Side Management with User’s Privacy Concern in Residential Community,” Proc. of IEEE Conference of Automation Science and Engineering (IEEE CASE 2016), Texas, USA, Aug. 21-24, 2016.
Chao-Lin Wu, Yifei Xie, Li-Chen Fu, and Yi-Chong Zeng, “Unsupervised Context Discovery based on Hierarchical Fusion of Heterogeneous Features in Real Smart Living Environments,” Proc. of IEEE Conference of Automation Science and Engineering (IEEE CASE 2016), Texas, USA, Aug. 21-24, 2016.
Ming-Je Tsai, Chao-Lin Wu, Yifei Xie, Ting-Ying Li, Li-Chen Fu, and Yi-Chong Zeng, “Context-aware Activity Prediction using Human Behavior Pattern in Real Smart Home Environments,” Proc. of IEEE Conference of Automation Science and Engineering (IEEE CASE 2016), Texas, USA, Aug. 21-24, 2016. (Best Application Paper Award)
Huang, Kuan-Ling Ya-Hung Chen, Chun-Feng Liao, Li-Chen Fu, “Health Assessment System Using Prediction Model for Self-rated Health by Vital Sign Pattern,” Proc. of IEEE Healthcare Innovation Point-of-Care Technologies Conference, Seattle, USA, Oct. 8-10, 2014.
Chen, Wei-Chen Wu, Chao-Lin, Ya-Hung Chen, and Li-Chen Fu, “An Efficient Data Storage Method of NoSQL Database for HEM Mobile Applications in IoT,” Proc. of 2014 IEEE International Conference on Internet of Things, Taipei, Taiwan, Sept.1-3, 2014.
Wu, Chao-Lin, Wei-Chen Chen, Ching-Hu Lu, Yi-Show Tseng, and Li-Chen Fu, “Anticipatory Reasoning for a Proactive Context-aware Energy Saving System,” Proc. of 2014 IEEE International Conference on Internet of Things, Taipei, Taiwan, Sept.1-3, 2014.
Lu, Ching-Hu and Li-Chen Fu, “Improving Performance of Activity Recognition via Reciprocal Model Cooperation on an ADL Infrastructure,” Proc. of ISG 2014, Taipei, Taiwan, June. 18-21, 2014.
Kuan-Ling Huang, Ya-Hung Chen, Chun-Feng Liao and Li-Chen Fu, “Daily Health Assessment System Using Prediction Model for Self-rated Health by Vital Sign Pattern,” in Proc. IEEE Healthcare Innovation Point-Of-Care Technologies Conference, Seattle, Washington, USA, 2014.
Li-Ren Hou, Kuan-Ling Huang, Shu-Fan Lee, Chun-Feng Liao, and Li-Chen Fu, “Detection and Assessment of Abnormal Circadian Rhythm by Analyzing Rest/Activity Cycle,” in Proc. ICME International Conference on Complex Medical Engineering (CME2014), Taipei, Taiwan, June, 2014.
Lu, Ching-Hu, Chao-Lin Wu, Mao-Yuan Weng, Wei-Chen Chen, and Li-Chen Fu, “Context-Aware Energy Saving System with Multiple Comfort-Constrained Optimization in M2M-based Home Environment,” Revised, IEEE Transactions on Human-Machine Systems, (SCI) 2014.
Lu, Ching-Hu, Chao-Lin Wu, Tsung-Hann Yang, Hui-Wen Yeh, Mao-Yuan Weng, Li-Chen Fu, and T.-Y. Tai, “Energy-Responsive Aggregate Context for Energy Saving in a Multi-Resident Environment,” IEEE Transactions on Automation Science and Engineering, Vol.11, No.3, pp.715-729, (SCI) 2014.
Liao, Chun-Feng, Hsin-Chih Chang, and Li-Chen Fu, “Message-Efficient Service Management Schemes for MOM-based UpnP Networks,” IEEE Transactions on Service Computing, Vol. 6, No. 2, pp. 214-226, (SCI) 2013.
Lu, Ching-Hu, Chao-Lin Wu, Tsung-Han Yang, Hui-Wen Yeh, Mao-Yung Weng, Li-Chen Fu, and Charlie Tai, “Hybrid User-Assisted Incremental Model Adaptation for Activity Recognition in a Dynamic Smart-Home Environment,” IEEE Transactions on Human-Machine Systems, Vol.43, No.5, pp. 421-436, (SCI) 2013.
Huang, Yu-Chiao, Chun-Feng Liao, Yu-Chun Yen, Li-Jen Hou and Li-Chen Fu, “An Extensible Situation-aware Caring System for Real-world Smart Wards,” Proc. of 10th International Conference on Smart Homes and Health Telematics, Artimino, Italy, June 12-15, 2012.
Wu, Chao-Lin, Wu, Mao Yuan Weng, Ching-Hu Lu, and Li-Chen Fu, “Hierarchical Generalized Context Inference for Context-aware Smart Homes,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Portugal, Oct. 7-12, 2012.
Weng, Mao Yuan, Chao-Lin Wu, Ching-Hu Lu, Hui-Wen Yeh, and Li-Chen Fu, “Context-aware Home Energy Saving based on Energy-Prone Context,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Portugal, Oct. 7-12, 2012.
Wu, Chao-Lin and Li-Chen Fu, “Design and Realization of a Framework for Human-System Interaction in Smart Homes,” IEEE Transactions on Systems, Man, and Cybernetics –Part A, Vol. 42, No. 1, pp. 15-31, (SCI) 2012.
Chun-Feng Liao, Hsin-Chih Chang, and Li-Chen Fu, 「Message-Efficient Service Management Schemes for MOM-based UPnP Networks ,」 in IEEE Transactions on Service Computing, 2011. (to appear)
Chao-Lin Wu and Li-Chen Fu, "Design and Implementation of A Human-System Interaction Framework for UbiComp-based Smart Home," IEEE Trans. on Systems, Man and Cybernetics, Part A: Systems and Humans, 2011. (to appear)
Ching-Hu Lu, Chao-Lin Wu and Li-Chen Fu, "A Reciprocal and Extensible Architecture for Multiple Target Tracking in a Smart Home," in IEEE Transactions on System, Man, and Cybernetics - Part C, Vol. 41, No. 1, pp.120-129, 2011.
Chun-Feng Liao, Ya-Wen Jong and Li-Chen Fu, "Toward Reliable Service Management in Message-Oriented Pervasive Systems," in IEEE Transactions on Service Computing, Vol.4, No.3, pp.183-195, 2011.
(Under review) H.-W. Yeh, C.-H. Lu, Y.-C. Huang, T.-H. Yang, and L.-C. Fu, "Cloud-Enabled Adaptive Activity-Aware Energy-Saving System in a Dynamic Environment," submitted to International Conference on Cloud and Green Computing (CGC 2011), Australia, 2011
C.-F. Liao, H.-H. Cheng and L.-C. Fu, 」Unifiable Preference Expressions for Pervasive Service Composition,」 in Proceedings of 2011 IEEE Asia-Pacific Services Computing Conference (IEEE APSCC 2011), 2011. (Best Paper Award)
Y.-C. Yen, C.-H. Lu, Y.-C. Cheng, and L.-C. Fu, "Evidence-based and Context-Aware Eldercare Using Persuasive Engagement Policy," in 14th International Conference on Human-Computer Interaction (HCII 2011), Olando, 2011, pp. 240-246.
Y.-C. Huang, Y.-C. Ho, C.-H. Lu, and L.-C. Fu, "A Cloud-based Accessible Architecture for Large-scale ADL Analysis Services," in Proc. of 4th IEEE International Conference on Cloud Computing (Cloud 2011), Washington DC, 2011.
Y.-C. Yen, J.-Y. Li, C.-H. Lu, T.-H. Yang and L.-C. Fu, "Human-Centric Situational Awareness in the Bedroom," in Proc. of Proceedings of 9th International Conference on Smart Homes and Health Telematics (ICOST 2011), Montreal, Canada, 2011.
Y.-T. Chiang, K.-C. Hsu, C.-H. Lu, Y.-J. Hsu, and L.-C. Fu 「Interaction Models for Multiple-Resident Activity Recognition in a Smart Home,」in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), 2010.
S.-C. Chang, C.-F. Liao, and L.-C. Fu, "Unification of Multiple Preferences and Avoidance of Service Interference for Service Composition in Context-Aware Pervasive Systems," in Proc. of 7th ACM International Conference on Pervasive Services (ACM ICPS'10), Berlin, Germany, 2010.
C.-F. Liao, S.-C. Chang, and L.-C. Fu, 「A Guideline-Driven Platform for Healthcare Services in Smart Home Environments,」 in Proceedings of 8th International Conference on Smart Homes and Health Telematics (ICOST 2010), Seoul, Korea, 2010.
Y.-C. Huang, C.-H. Lu, T.-H. Yang, and L.-C. Fu, 「Context-Aware Personal Diet Suggestion System,」 in Proceedings of 8th International Conference on Smart Homes and Health Telematics (ICOST 2010), Seoul, Korea, 2010.
Y.-T. Chiang, K.-C. Hsu, G.-Y. Lin, C.-H. Lu, Y.-J. Hsu and L.-C. Fu 「Strategies on Training Conditional Random Fields for Multiple Resident Activity Recognition in a Smart Home,」 The Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, (IEA-AIE 2010)
Y. Feng, L.-C. Fu, C.-Y. Huang, C.-H. Lu, and Yu-Chieh, "A Perspective on Fulfilling Technological Needs of Residents," in Symposium of Globalization, Urban and Housing Research, Hwalean, Taiwan, 2009
Chun-Feng Liao, Shin-Chih Chang, and Li-Chen Fu, "Boosting the Efficiency of the Reliable Service Management Protocol for Message-Oriented Pervasive Systems," in Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications (SOCA'09), Taipei, Taiwan, 2009.
Shin-Chih Chang, Chun-Feng Liao, Yong-Cheng Liu, and Li-Chen Fu, "A Spontaneous Preference Aware Service Composition Framework for Message-Oriented Pervasive Systems," in Proceedings of the 4th International Conference on Pervasive Computing and Applications (ICPCA'09), Taiwan, 2009.
C.-H. Lu and L.-C. Fu, "A Human-Centric and Cooperative Architecture for Multiple Target Tracking in a Smart Home," in 4th International Conference on Pervasive Computing and Applications (ICPCA'09), Taiwan, 2009.
Y.-H. Chen, C.-H. Lu, K.-C. Hsu, L.-C. Fu, Y.-J. Yeh, and L.-C. Kuo, "Preference Model Assisted Activity Recognition Learning in a Smart Home Environment," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), 2009.
Ya-Wen Jong, Chun-Feng Liao, and Li-Chen Fu, "A Rotating Roll-call-based Adaptive Failure Detection and Recovery Protocol for Smart Home Environments," in Proceedings of 7th International Conference On Smart homes and health Telematics (ICOST 2009, Springer Lecture Notes in Computer Sciences 5597), Tours, France, 2009.
Yu-Chen Ho, Ching-Hu Lu, I-Han Chen, Shih-Shinh Huang, and Li-Chen Fu, "Active-Learning Assisted Self-reconfigurable Activity Recognition in a Dynamic Environments," in IEEE International Conference on Robotics and Automation (ICRA), 2009.
Chao-Lin Wu and Li-Chen Fu, "Analysis and Evaluation of System Integration Models for Human-System Interaction in UbiComp Environments," in IEEE International Conference on Human System Interaction, 21-23 May, 2009.
Chi-Pang Lam, Wei-Jen Kuo, Chun-Feng Liao, Ya-Wen Jong, and Li-Chen Fu, " An Efficient Hierarchical Localization for Indoor Mobile Robot with Wireless Sensor and Pre-Constructed Map ," in Proceedings of the 5th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2008), Korea, 2008.
Ching-Hu Lu, Yung-Ching Lin, and Li-Chen Fu, "Hide and Not Easy to Seek: A Hybrid Weaving Strategy for Context-aware Service Provision in a Smart Home," in Proceedings of 2008 IEEE Asia-Pacific Services Computing Conference (IEEE APSCC 2008), Yilan, Taiwan, 2008.
Chun-Feng Liao, Ya-Wen Jong, and Li-Chen Fu, "PSMP: A Fast Self-Healing and Self-Organizing Pervasive Service Management Protocol for Smart Home Environments," in Proceedings of 2008 IEEE Asia-Pacific Services Computing Conference (IEEE APSCC 2008), Yilan, Taiwan, 2008.
Ya-Wen Jung, Chun-Feng Liao, and Li-Chen Fu, "An Efficient Autonomous Failure Recovery Mechanism for UPnP-based Message-Oriented Pervasive Services," in Proceedings of 2008 IEEE International Conference on System, Man, and Cybernetics (IEEE SMC 2008) , Singapore,Oct 2008.
Chao-Lin Wu and Li-Chen Fu, "A Human-System Interaction Framework and Algorithm for UbiComp-Based Smart Home," in IEEE Conference on Human System Interactions, 25-27 May, 2008. (Best Paper Award in Human-Computer Interaction area)
Chun-Feng Liao, Ya-Wen Jong, and Li-Chen Fu, "Community-based Autonomous Service Activation and Failure Recovery in a Message-Oriented Pervasive Middleware," in Proceedings of 2008 International Workshop on Context-Aware Pervasive Communities: Infrastructures, Services and Applications (CAPC 2008, Held in Conjunction with Pervasive 2008), Sydney, Australia, 2008.
Chun-Feng Liao, Ya-Wen Jong, and Li-Chen Fu, "Toward a Message-Oriented Application Model and its Middleware Support in Ubiquitous Environments," in Proceedings of 2008 International Conference on Multimedia and Ubiquitous Engineering (MUE 2008), Busan, Korea, 2008.
Chun-Feng Liao, Ya-Wen Jong and Li-Chen Fu, "Toward a Message-Oriented Application Model and its Middleware Support in Ubiquitous Environments," International Journal of Hybrid Information Technology, vol.1, no.3, July 2008.
Ching-Hu Lu, and Li-Chen Fu, "Robust Location-Aware Activity Recognition Using Wireless Sensor Networks in an Attentive Home," IEEE Transactions on Automation Science and Engineering, April 2008.
Wen-Hau Liau, Chao-Lin Wu, and Li-Chen Fu, "Inhabitants Tracking System in a Cluttered Home Environment via Floor Load Sensors," IEEE Transactions on Automation Science and Engineering, Special Issue on Home Automation, January 2008.
Chao-Lin Wu, Chun-Feng Liao and Li-Chen Fu, "Service-Oriented Smart Home Architecture based on OSGi and Mobile Agent Technology," IEEE Transactions on Systems, Man and Cybernetics - Part C, Special Issue on Networking, Sensing, and Control, vol.37, no.2 , 2007.
Ching-Hu Lu, Chun-Feng Liao, Chao-Lin Wu, and Li-Chen Fu, "Real-Time Fine-Grained Multiple-Target Tracking on a Extensible Virtual Fab Architecture Using Multi-Agents ," International Journal of Electronic Business Management(IJEBM) ,version 5 Number 1, 2007.
Ching-Hu Lu, Yu-Chen Ho and Li-Chen Fu, 「Creating Robust Activity Maps Using Wireless Sensor Network in a Smart Home,」 The third IEEE Conference on Automation Science and Engineering, Sep 2007.
Zhi-Hao Lin and Li-Chen Fu, 「Multi-user Preference Model and Service Provision in a Smart Home Environment,」 The third IEEE Conference on Automation Science and Engineering, Sep 2007.
Wan-rong Jih, Jane Yung-jen Hsu,Chao-Lin Wu, Chun-Feng Liao, and Shao-you Cheng, "A Multi-Agent Service Framework for Context-Aware Elder Care," Proceedings of Workshop of Service-Oriented Computing and Agent-Based Engineering (SOCABE'2006), Hakodate, JAPAN, 2006.
Wen-Hau Liau, Chao-Lin Wu, and Li-Chen Fu, 「Inhabitants Tracking in a Cluttered Home Environment via Floor Load Sensors,」 IEEE Intl. Conf. on Systems, Man and Cybernetics, Taipei, Taiwan, Oct. 2006.
Chen-Rong Yu, Chao-Lin Wu, Ching-Hu Lu, Li-Chen Fu, 「Human Localization via Multi-Cameras and Floor Sensors in Smart Home,」 IEEE Intl. Conf. on Systems, Man and Cybernetics, Taipei, Taiwan, Oct. 2006.
Zhi-Yang Chen, Chao-Lin Wu, Li-Chen Fu, 「Using Semi-Supervised Learning to Build Bayesian Network for Personal Preference Modeling in Home Environment,」 IEEE Intl. Conf. on Systems, Man and Cybernetics, Taipei, Taiwan, Oct. 2006.
Ching-Hu Lu, Wen-Hau Liao, Chao-Lin Wu, Li-Chen Fu, 「Power-Efficient Extensible Architecture for RFID-Assisted Multiple Target Tracking,」 IEEE Intl. Conf. on Systems, Man and Cybernetics, Taipei, Taiwan, Oct. 2006.
Li-Ming Chen, Chao-Lin Wu, and Li-Chen Fu, 「Automatic personal preference learning system in intelligent e-home,」 the eighth International Conference on Automation technology, Taichung, Taiwan, May 2005.
Chao-Lin Wu, Li-Chen Fu, and Feng-Li Lian, 「WLAN location determination in e-home via support vector classification,」 IEEE Intl. Conf. on Networking, Sensing and Control, Taipei, Taiwan, Mar. 2004.
Chao-Lin Wu, Wei-Chen Wang, and Li-Chen Fu, 「Mobile agent based integrated control architecture for home automation system,」 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, Sendai, Japan, Sep. 2004.
Neng-Shiang Liang, Li-Chen Fu, and Chao-Lin Wu, 「An integrated, flexible, and Internet-based control architecture for home automation system in the Internet era,」 IEEE Intl. Conf. on Robotics and Automation, Washington D.C., USA, May 2002.
Wen-Ya Chung, Li-Chen Fu, and Shih-Shinh Huang, "A flexible, hierarchical and distributed control kernel architecture for rapid resource integration of intelligent building system,」 IEEE Intl. Conf. on Robotics and Automation, May 2001.
Li-Chen Fu and Teng-Jei Shih, 「Holonic supervisory control and data acquisition kernel for 21st century intelligent building system,」 IEEE Intl. Conf. on Robotics and Automation, May 2000.

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