Keynote Speakers

Verity: a wearable sensor system and intelligent processing for ambient assisted living of the elderly and infirm

Prof. Ping Jiang
The University of Hull, UK

Public healthcare is facing serious difficulties due to the rapidly growing aging population. Today, there are 7m homes with at least one senior person, with a further 1.2m disabled also living independently. These individuals have a desire to live independently rather than relying on intrusive care and support. They are also at higher risk of suffering from illness, accidents, and injuries in their day-to-day activities. Consequently there is a need for a system that can be conveniently wearable to monitor vital physiological parameters and check health conditions of a user, whilst communicates with health service providers. This talk will present a system Verity intended for the monitoring of the elderly and those requiring passive care, with a wrist-wearable wireless sensor node and a mobile platform to form a remotely accessible body area network. The system utilises a state-of-the art SoC, using an ultra-low power sensor interface and RF communication. Ambient/skin temperatures, accelerations and heart rate of the wearer are measured for real-time monitoring. Due to the high dimension and nonlinearity of the collected sensor data, it is necessary to develop effective behaviour recognition techniques which can find low-dimensional meaningful behaviour patterns hidden in the raw sensor data. The scientific problem for this non-intrusive care scenario is how to extract manageable low-dimensional features for behaviour classification and recognition from high dimensional, multi-modal, nonlinear, temporal and spatial log data of the sensors, which has been demonstrated to be difficult by using the classical techniques. In the Verity system, nonlinear dimension reduction is taken as a general framework for Bayesian estimation of behaviour patterns and abnormality detection is carried out in a low-dimensional space based on a hidden Markov model.

Ping Jiang is Professor in Computer Science at the University of Hull, UK, where he is the group leader of Intelligent Systems. He received B. Eng., M. Eng. and Ph.D. degrees in Information and Control Engineering from Xi'an Jiaotong University, Xi'an, P.R. China, in 1985, 1988 and 1992, respectively. He was Lecturer, Senior Lecturer and Reader in Robotics and Distributed Systems at University of Bradford from 2003. He was Lecturer in the Department of Electrical Engineering at Tongji University, Shanghai, in 1992 and promoted to Associate Professor, in 1994. From 1997, he was Professor in Department of Information and Control Engineering at Tongji University and led the research group of Intelligent Robotics and Intelligent Control.
His research work mainly focuses on intelligent robotics, automation and control, wireless/distributed sensor and actuator networks, multi-agent and virtual organisation. He has been involved in twenty academic research projects funded by British, Chinese, EU and German foundations and published more than 170 research papers. In addition to academic research, he has hands-on experience on hardware and software development and has been involved in more than twenty industrial knowledge transfer projects. From 1998 to 2000, he was an Alexander von Humboldt Research Fellow at Universitaet Erlangen-Nuernberg, Germany. From 2002 to 2003, he was a senior research fellow in Computing at Glasgow Caledonian University for the IST Project DIECoM. In his career, four practical robots were developed, which include a 5DOF educational robot (received the National Scientific and Technical Achievement Award in 1989 and a Silver Medal in the 1990 Beijing International Industry Expo), a 4DOF direct-drive glass-cutting robot, a wheeled mobile robot and recently an autonomous wheelchair controlled by wireless visual sensors.

Forwarding Games in MANETs

Dr. Xiaohong Jiang
Future University Hakodate, Japan


We examine the optimal forwarding problem in mobile ad hoc networks (MANETs) based on a generalized two-hop relay with limited packet redundancy f (f-cast) for packet routing. We formulate such problem as a forwarding game, where each node individually decides a probability p (i.e., a strategy) to deliver out its own traffic and helps to forward other traffic with probability 1-p, while its payoff is the achievable throughput capacity of its own traffic. We derive closed-form result for the per node throughput capacity (i.e., payoff function) when all nodes play the symmetric strategy profiles, identify all the possible Nash equilibria of the forwarding game, and prove that there exists a Nash equilibrium strategy profile that is strictly Pareto optimal. Finally, for any symmetric profile, we explore the possible maximum per node throughput capacity and determine the corresponding optimal setting of f to achieve it.

Dr. Xiaohong Jiang is currently a full professor of Future University Hakodate, Japan. Before joining Future University, Dr.Jiang was an Associate professor, Tohoku University, from Feb.2005 to Mar.2010. Dr. JiangĄ¯s research interests include computer communications networks, mainly wireless networks and optical networks, interconnection networks for massive parallel computing systems, routers/switches design for high performance networks, network coding for wireless networks, VoIP over wireless networks, network security, VLSI/WSI systems, etc. He has published over 200 technical papers at premium international journals and conferences, which include over 30 papers published in top IEEE journals and top IEEE conferences, like IEEE/ACM Transactions on Networking, IEEE Journal of Selected Areas on Communications, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Communications, IEEE INFOCOM. Dr. Jiang was the winner of the Best Paper Award and Outstanding Paper Award of IEEE WCNC 2012, IEEE WCNC 2008, IEEE ICC 2005-Optical Networking Symposium, and IEEE/IEICE HPSR 2002. He is a Senior Member of IEEE, a Member of IEICE.

Large Scale Visual Search

Dr. Qi Tian
University of Texas at San Antonio, USA

Coupled with the massive social multimedia data and mobile visual search applications, techniques towards large-scale visual search and recognition are emerging. To this end, the first part of this talk will review the key techniques in designing modern image search systems, including local feature representation and visual codebook construction, feature quantization and pooling, scalable index, spatial embedding and fast re-ranking. The second part of this talk will detail several cutting edge components toward achieving state-of-the-art performance, including visual pattern and phrase mining, supervised and optimal codebook construction, effective feature quantization and pooling, scalable spatial coding and fast re-ranking. Subsequently, this talk will go into four promising research topics targeting at real-world application of scalable visual search techniques, that is, mobile visual search with compact descriptors, visual query difficulty prediction for search engine designs, as well as the scalable spatial coding technique for real-time re-ranking of million-scale image corpus. Finally, this talk will sum up with the lessons learnt about developing scalable visual search systems, with our foresees for some prospective new topics, including zero-latency query manipulation, user-interaction in mobile query formulation, as well as objectbook construction for large-scale semantic-aware image retrieval.

Qi Tian is currently an Associate Professor in the Department of Computer Science, the University of Texas at San Antonio (UTSA). During 2008-2009, he took one-year Faculty Leave at Microsoft Research Asia (MSRA) in the Media Computing Group. He received his Ph.D. in ECE from University of Illinois at Urbana-Champaign (UIUC) in 2002. Dr. TianĄ¯s research interests focus on multimedia information retrieval and published over 180 refereed journal and conference papers. He received the Best Paper Award in ACM ICIMCS 2012, a Top 10% Paper Award in MMSP 2011, the Best Student Paper Award in ICASSP 2006, and was a co-author of a Best Paper Candidate in PCM 2007. His research projects are funded by NSF, ARO, DHS, Google, FXPAL, NEC, SALSI, CIAS, Akiira Media Systems, HP and UTSA. He received 2010 ACM Service Award. He is the Guest Editors of IEEE Transactions on Multimedia, Journal of Computer Vision and Image Understanding, etc, and is the Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and in the Editorial Board of Journal of Multimedia (JMM) and Journal of Machine Vision and Applications (MVA). He is currently a Guest Professor in USTC, Zhejiang University, Xidian University, XiĄ¯an Jiaotong University and a Chaired Professor in Tsinghua University.

Human-Centric Computing and Unified User Modeling in Ecologically Integrated Information Environments

Prof. Qun Jin
Department of Human Informatics and Cognitive Sciences, Waseda University, Japan


With the dramatic development of ubiquitous computing technologies, wireless sensor networks, social media and smart phones, and with the tight coupling of the networked digital space and the physical human society, a larger amount of data and information is being dynamically created with a matter of seconds, such as life logs and social streams. We are making every effort to get adapted with some techniques to cope with information overload. It has become an important and urgent task to develop a flexible, efficiency and individualized way to solve this problem. In the talk, the basic concept of human-centric computing and unified user modeling, and an ecologically integrated framework of information environments, which aim to provide a solution for sustainable utilization and sharing of organized information and knowledge, will be introduced and discussed. And the design, implementation and application scenario of a prototype system called Ubiquitous Personal Study (UPS), which is empowered by cloud services, social media and smart phones, will be described and explained. Outline of the talk is given as follows. (1) Background, related work, and purpose of the study; (2) The basic idea and concept of Human-Centric Computing and Unified User Modeling; (3) The Framework of Ecologically Integrated Information Environments; (4) The design, implementation, and application of Ubiquitous Personal Study (UPS), and interdisciplinary and integrated approach to life logs and social streams; (5) Challenging issues and future work.

Qun Jin received B.S. Degree from Zhejiang University, China in 1982, M.S. Degree from Hangzhou Institute of Electronic Engineering (now Hangzhou Dianzi University) and the Fifteenth Research Institute of Ministry of Electronic Industry, China in 1984, and Ph.D. from Nihon University, Japan in 1992. From December 1984 to March 1989, he worked in the Department of Computer Science, Hangzhou Institute of Electronic Engineering, China. In April 1992, Dr. Jin joined the Systems Research Center, INES Corporation, Japan. From April 1995 to March 1999, he worked as an associate professor at the Department of Information Science and Intelligent Systems, Faculty of Engineering, Tokushima University, Japan. During the summer of 1997, he was a short-term scholar in the Department of Electrical and Computer Engineering, Boston University, USA. From April 1999 to March 2003, Dr. Jin was an associate professor at School of Computer Science and Engineering, the University of Aizu, Japan. Dr. Jin moved to Waseda University, Japan, in April 2003, where he holds a tenured full professor position at the Networked Information Systems Laboratory, Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences. Dr. Jin has been engaged extensively in research works in the fields of computer science, information systems, and social and human informatics. He seeks to exploit the rich interdependence between theory and practice in his work with interdisciplinary and integrated approaches. He has published several academic books and hundreds of refereed papers in Journals, Proceedings and Book Chapters, including ACM and IEEE Transactions. His recent research interests include ecologically integrated information environments, behavior and cognitive informatics, unified user modeling, social network analysis, human-computer interaction, user-centric service computing, information search, recommendation and sharing, e-learning, and computing for well-being.

2012 IET International Conference on Information Science and Control Engineering (ICISCE 2012)