This event is endorsed
and organized by

The 8th EAI International Conference on Mobile Computing, Applications and Services

November 30–December 1, 2016 | Cambridge, Great Britain



Ayumu: Efficient lifelogging with focused tasks
Benjamin Stoddard, Kate O'Hanlon, Brian Lin, Ashwin Machanavajjhala and Landon Cox (Duke University, USA)

You Are What You Use: An Initial Study of Authenticating Mobile Users via Application Usage
Jonathan Voris (New York Institute of Technology, USA);  Yingbo Song (Allure Security Technology, USA);  Malek Ben Salem (Accenture Technology Labs, USA);  Salvatore Stolfo (Allure Security Technology, USA)

A robust reputation-based location-privacy recommender system using opportunistic networks
Yuchen Zhao, Juan Ye and Tristan Henderson (University of St Andrews, United Kingdom)

Hybridizing Personal and Impersonal Models in Activity Recognition on Mobile Devices
Tong Yu, Yong Zhuang and Ole Mengshoel (Carnegie Mellon University, USA);  Osman Yağan (Carnegie Mellon University & CyLab, USA)

Smartphone Usage Analysis Based on Actual-Use Survey
Takeshi Kamiyama (NTT DOCOMO, Inc., Japan);  Kenji Hisazumi (Kyushu University, Japan);  Hiroshi Inamura (Future University Hakodate, Japan);  Teppei Konishi (NTT DOCOMO, Inc., Japan);  Ken Ohta (NTT DOCOMO, INC., Japan);  Akira Fukuda (Kyushu University, Japan)

MARAM: Tool Support for Mobile App Review Management
Claudia Iacob (University of Portsmouth, United Kingdom);  S. Faily (Bournemouth University, United Kingdom);  Rachel Harrison (Oxford Brookes University, United Kingdom)

A Cross-Layer Coding for Scalable ECG streaming
Mohammed Alloulah (Toumaz Group, United Kingdom);  Mark Dawkins (Toumaz, USA)

Mobile Augmented Reality Guides in Cultural Heritage
Panagiotis Galatis (Hellenic Open University, Greece);  Damianos Gavalas and Vlasios Kasapakis (University of the Aegean, Greece);  Grammati Pantziou (Technological Educational Institution of Athens &  Computer Technology Institute and Press Diophantus, Greece);  Christos Zaroliagis (University of Patras, Greece)

On-The-Fly Curbside Parking Assignment
Abeer Hakeem (NJIT, USA);  Narain Gehani, Reza Curtmola, Xiaoning Ding and Cristian Borcea (New Jersey Institute of Technology, USA)

Quantifying the Uncertainty of Next-Place Predictions
Paul Baumann (TU Dresden, Germany);  Marc Langheinrich (University of Lugano (USI), Switzerland);  Anind Dey (Carnegie Mellon University, USA);  Silvia Santini (TU Dresden, Germany)

A large-scale study in predictability of daily activities and places
Gordon Moon and Jihun Hamm (The Ohio State University, USA)

vTrack: Envisioning a Virtual Trackpad Interface through mm-level Sound Source Localization for Mobile Interaction
Seung Eun Chung and Injong Rhee (North Carolina State University, USA)

DXTK: Exploring Deep Learning on Mobile and Embedded Platforms with the DeepX Toolkit
Nicholas Lane (Bell Labs, United Kingdom)




Task Offloading Engine for Heterogeneous Mobile Clouds
Dawand Sulaiman and Adam Barker (University of St Andrews, UK)

ProtibaadiNext: A Low Cost Wearable System to Deal with Sexual Harassment in Bangladesh
Prosonna Hossain Nabila, Shareen Mahmud, Nabila Rezwana Mirza, Rahat Jahangir Rony, Tanvir Mushfique, Nova Ahmed and Saad Azmeen-Ur-Rahman (North South University, Bangladesh)

A Profiling System for Android Wear
Ryuji Suzuki, Geert Vanderhulst and Fahim Kawsar (Aoyama Gakuin University, Japan)

COIN-VASE: Code Injection Vulnerability Scanning Environment for HTML5-Based Android Apps
Su Yeon Choi, Jee Ah Lee, Wonhee Lee and Hae Young Lee (Seoul Women's University, Korea)

Grouve: Spontaneous Proximal Group Formation with Ultrasonic Sound Waves
Debbie Gijsbrechts, Florian Heller, Johannes Schöning and Fahim Kawsar (UHasselt, Belgium)

Quantifying Environmental Noise Effects Using Heart Rate
Faiza Guerrache, Eman M.G.Younis and Eiman Kanjo (Nottingham Trent University, UK)




A Multi-Tier Web Service and Mobile Client for City Trip Recommendations 
Christopher Laß, Wolfgang Woerndl (Technical University of Munich, Germany)


Smartphone Sensing Framework
Shahnawaz Alam  (TCS)

Crowdsourcing Price Information Using CrowdGrocr
Aris Hazleen (Universiti Tenaga Nasional, Malaysia)