S0: Welcome and Introduction
Chairs: Pascal Hirmer (University of Stuttgart, Germany), Jadwiga Indulska (The University of Queensland, Australia), Timo Sztyler (University of Mannheim, Germany)
S1: Keynote: Activity and Context Modeling with Wearable Cameras
Chair: Pascal Hirmer (University of Stuttgart, Germany)
Edison Thomaz (University of Texas at Austin )
Abstract: Over the last several years, a new type of sensing modality has emerged for activity recognition and context modeling applications: photographs taken with wearable cameras. Often referred to as "egocentric" photos, these images capture human activities in naturalistic settings with unprecedented richness in detail. Thanks to advances in computer vision algorithms, these egocentric photos can now be processed for evidence of human activities and behaviors with remarkable accuracy. In this talk, I will demonstrate how we have used egocentric photos in two health-oriented applications. I will also discuss practical shortcomings of egocentric image approaches and how we have attempted to address them in our research.
S2: Context Modeling
Chair: Pascal Hirmer (Pascal Hirmer, University of Stuttgart)
A Context Model for Holistic Monitoring and Management of Complex IT Environments
Mathias Mormul (Universität Stuttgart, Germany); Christoph Stach (University of Stuttgart, Germany
Towards Adaptive Sensor Data Quality Improvement based on Context Models
Aboubakr Benabbas and Simon Steuer (University of Bamberg, Germany); Daniela Nicklas (University of Bamberg & Faculty Information Systems and Applied Computer Science, Germany)
A Further Step Towards Automatic Domain Modelling by Relevant Information Extraction
Lars Krupp, Gernot Bahle and Agnes Gruenerbl (DFKI, Germany); Paul Lukowicz (DFKI and University of Kaiserslautern, Germany)
Modeling and Reasoning of Contexts in Smart Spaces
Jaewoong Lee (OSWEGO State University of New York, USA); Sumi Helal (Lancaster University, United Kingdom (Great Britain))
S3: Activity Recognition using Machine Learning approaches
Chair: Daniela Nicklas (University of Bamberg, Germany)
Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition
Claudio Bettini (Università degli Studi di Milano, Italy); Gabriele Civitarese (University of Milan, Italy))
Machine Learning for a Context Mining Facility
Nourhène Ben Rabah (Université Paris 1 Panthéon Sorbonne, France); Manuele Kirsch Pinheiro (Université Paris 1 - Panthéon Sorbonne, France); Bénédicte Le Grand and Ali Jaffal (Université Paris 1 Panthéon Sorbonne, France); Carine Souveyet (Université Paris 1 - Panthéon Sorbonne, France)
Lars G Holmberg, Paul Davidsson and Carl Magnus Olsson (Malmö University, Sweden)
S4: Systems for Context and Activity Recognition
Chair: Mathias Mormul (University of Stuttgart, Germany)
RaCon: A Gesture Recognition Approach via Doppler Radar for Intelligent Human-Robot Interaction
Kaijie Zhang, Zhiwen Yu, Dong Zhang, Zhu Wang and Bin Guo (Northwestern Polytechnical University, China)
CAPP: A Context-Aware Proof of Presence for Crowdsensing Incentives
Nick Handaja and Brent Lagesse (University of Washington Bothell, USA)
S5: Discussion, Feedback and Farewell