PerCom 2016 will provide a leading edge, scholarly forum for researchers, engineers, and students alike to share their state-of-the art research and developmental work in the broad areas of pervasive computing and communications. The conference will feature a diverse mixture of interactive forums: core technical sessions of high quality cutting-edge research articles; targeted workshops on exciting topics; live demonstrations of pervasive computing in action; insightful keynote speeches; panel discussions from domain experts; and posters of emerging ideas.
Preliminary Program Outline
- March 14: Pre-conference Workshops
- March 15-17: Main Conference
- March 16: Conference Banquet
- March 18: Post-Conference Workshops
Keynote 1: March 15, 2016
Studying Human Behaviour at the Intersection of Mobile Sensing and Complex Networks
Cecilia Mascolo, University of Cambridge
Keynote 2: March 16, 2016
The Dawn of the Age of Responsive Media
Bo Begole, Global Head of Huawei Technologies’ Media Technologies
Topic: Smart cities, intelligent environments, and dumb people
Moderator: Franco Zambonelli, Università di Modena e Reggio Emilia
- Dr. Salil Kanhere, University of South Wales
- Dr. Seng Loke, La Trobe University
- Dr. Bernd Meyer, Monash University
- Dr. Flora Salim, RMIT
Pervasive and mobile computing technologies can make our everyday living environments and our cities "smart", i.e., capable of reaching awareness of physical and social processes and of dynamically affecting them in a purposeful way. In general, living in a smart environment and being made part of its activities somehow make us - as individuals - smarter as well, by increasing our perceptory and social capabilities. However, a potential risk could be to start delegating too much to the environment itself, losing in critical attention, abandoning individual decision making for relying on collective computational governance of our activity, and in the end also losing awareness of environmental and social processes. The panel intends to discuss the above issues with the help of relevant researchers in the area of pervasive computing, smart environments, collective intelligence.
AwareCities2016: First International Workshop on Context-AwareSmart Citiesand Intelligent Transport Systems.
CASPer2016: 3rd International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications.
CoMoRea2016: 12th Workshop on Context and Activity Modeling and Recognition.
CoSDEO2016: Contact-Free Ambient Sensing.
CROWDBENCH2016: Workshop on Benchmarks for Ubiquitous Crowdsourcing: Metrics, Methodologies, and Datasets.
IQ2S2016: 8th International Workshop on Information Quality and Quality of Service for Pervasive Computing.
MUCS2016: 13th International Workshop on Managing Communications and Services.
PASTA2016: Workshop on PervAsive Technologies and care systems for sustainable Aging-in-place.
PerCol2016: 7th IEEE Workshop on Pervasive Collaboration and Social Networking.
PerEnergy2016: Second IEEE Workshop on Pervasive Energy Services.
PerMoby2016: International Workshop on the Impact of Human Mobility in Pervasive Systems and Applications.
SPTIoT2016: Workshop on Security, Privacy and Trust for the Internet of Things.
WristSense2016: 2nd Workshop on Sensing Systems and Applications using Wrist based Smart Devices.
- Networking Smartphones for Disaster Recovery
Zongqing Lu and Guohong Cao (The Pennsylvania State University, USA); Tom La Porta (Penn State University, USA)
- iFrame: Dynamic Indoor Map Construction through Automatic Mobile Sensing
Chen Qiu and Matt Mutka (Michigan State University, USA)
- PriMe: Human-Centric Privacy Measurement based on User Preferences towards Data Sharing in Mobile Participatory Sensing Systems
Rui Liu (The Hong Kong Polytechnic University, P.R. China); Jiannong Cao (Hong Kong Polytechnic Univ, Hong Kong); Sebastian VanSyckel (University of Mannheim, Germany); Wenyu Gao (Virginia Tech, USA)
- CHITCHAT: Navigating Tradeoffs in Device-to-Device Context Sharing
Sungmin Cho (The University of Texas at Austin, USA); Christine Julien (University of Texas at Austin, USA)
- SECC: Simultaneous Extraction of Context and Community from Pervasive Signals
Thuong C. Nguyen (RMIT University, Australia); Vu Nguyen (Deakin University, Australia); Flora D Salim (RMIT University, Australia); Dinh Q. Phung (Deakin University, Australia)
- Never Skip Leg Day: A Novel Wearable Approach to Monitoring Gym Leg Exercises
Bo Zhou, Mathias Sundholm, Jingyuan Cheng and Heber Cruz (German Research Center for Artificial Intelligence, Germany); Paul Lukowicz (DFKI and University of Kaiserslautern, Germany)
- Riding Quality Evaluation Through Mobile Crowd Sensing
Senyuan Tan (Politecnico di Milano, Italy); Xiaoliang Wang (Nanjing University, P.R. China); Guido Maier (Politecnico di Milano, Italy); Wenzhong Li (Nanjing University, P.R. China)
- On-body Localization of Wearable Devices: An Investigation of Position-Aware Activity Recognition
Timo Sztyler and Heiner Stuckenschmidt (University of Mannheim, Germany)
- Task Phase Recognition for Highly Mobile Workers in Large Building Complexes
Allan Stisen, Henrik Blunck, Mikkel Baun Kjærgaard, Thor Siiger Prentow, Andreas Mathisen and Søren Sørensen (Aarhus University, Denmark)
- SafeCam: Analyzing Intersection-Related Driver Behaviors using Multi-Sensor Smartphones
Landu Jiang, Xi Chen and Wenbo He (McGill University, Canada)
- A Novel Multivariate Spectral Regression Model for Learning Relationships between Communication Activity and Urban Ecology
Xuhong Zhang and Carter T Butts (University of California, Irvine, USA)
- PanoVC: Pervasive Telepresence using Mobile Phones
Joerg H Mueller (Advanced Concepts Team European Space Agency, Austria); Tobias Langlotz and Holger Regenbrecht (University of Otago, New Zealand)
- Leveraging Proximity Sensing to Mine the Behavior of Museum Visitors
Claudio Martella and Armando Miraglia (VU University Amsterdam, The Netherlands); Marco Cattani (Delft University of Technology, The Netherlands); Maarten van Steen (University of Twente, The Netherlands)
- Prediction-based Personalized Offloading of Cellular Traffic Through WiFi Networks
Suyeon Kim (University of Yonsei, Korea); Yohan Chon (Google, USA); Seokjun Lee (Yonsei University, Korea); Hojung Cha (Yonsei University, S. Korea, Korea)
- Adaptive Activity Learning with Dynamically Available Context
Jiahui Wen (University of Queensland, Australia); Jadwiga Indulska (The University of Queensland, Australia); Mingyang Zhong (University of Queensland, Australia)
- Group Mobility Classification and Structure Recognition Using Mobile Devices
He Du, Zhiwen Yu, Fei Yi and Zhu Wang (Northwestern Polytechnical University, P.R. China); Qi Han (Colorado School of Mines, USA); Guo Bin (Northwestern Polytechnical University, P.R. China)
- Real-Time Task Assignment in Hyper-Local Spatial Crowdsourcing under Budget Constraints
Hien To, Liyue Fan, Luan Tran and Cyrus Shahabi (University of Southern California, USA)
- IRIS: Tapping Wearable Sensing to Capture In-Store Retail Insights on Shoppers
Meeralakshmi Radhakrishnan (Singapore Management University, Singapore); Sharanya Eswaran (Xerox Research Centre India, India); Archan Misra (Singapore Management University, Singapore); Deepthi Chander (Xerox Research Center India, India); Koustuv Dasgupta (Xerox Research Centre India, India)
- Whose Move is it Anyway? Authenticating Smart Wearable Devices Using Unique Head Movement Patterns
Sugang Li (Rutgers University, USA); Ashwin Ashok (Carnegie Mellon University, USA); Yanyong Zhang (Rutgers University, USA); Chenren Xu (Peking University, P.R. China); Janne Lindqvist (Rutgers University, USA); Marco Gruteser (WINLAB / Rutgers University, USA)
- MT-Diet: Automated Smartphone based Diet Assessment with Infrared Images
Junghyo Lee, Ayan Banerjee and Sandeep Gupta (Arizona State University, USA)
- MobiDiC: Exploiting the Untapped Potential of Mobile Distributed Computing via Approximation
Parul Pandey and Dario Pompili (Rutgers University, USA)
- Active Learning Enabled Activity Recognition
H M Sajjad Hossain and Nirmalya Roy (University of Maryland Baltimore County, USA); Md Abdullah Al Hafiz Khan (University of Maryland, Baltimore County, USA)
- Non-Intrusive Estimation and Prediction of Residential AC Energy Consumption
Milan Jain (IIIT Delhi, India); Amarjeet Singh (IIIT-Delhi, India); Vikas Chandan (IBM Research India, India)
- Video Recognition using Ambient Light Sensors
Lorenz Schwittmann, Viktor Matkovic, Matthäus Wander and Torben Weis (University of Duisburg-Essen, Germany)
- A Probabilistic model for early prediction of abnormal clinical events using vital sign correlations in home-based monitoring
Abdur Rahim Mohammad Forkan (RMIT University & NICTA, Australia); Ibrahim Khalil (RMIT University, Australia)