Program

Monday, March 11  8:45 - 09:00

Welcome and Introduction

Chairs: Pascal Hirmer (University of Stuttgart, Germany), Jadwiga Indulska (The University of Queensland, Australia), Gabriele Civitarese (University of Milan, Italy)

Monday, March 11  09:00 - 10:00

Keynote: The Pervasive Hospital Vision: Challenges for Data Management and Context Reasoning

Chair: Jadwiga Indulska (The University of Queensland, Australia)

Claudio Bettini (University of Milan)

The world population is aging rapidly leading to serious sustainability issues for public health systems. These systems struggle to provide adequate support not only for the growing senior population but more generally for patients affected by chronic non-communicable diseases that require monitoring and frequent follow-ups. The adoption of telehealth as a way for patients to obtain healthcare at their homes has experienced a tremendous increase during and after the COVID-19 pandemic. The majority of telehealth interventions are currently limited to remote audio-video communication between patients and health providers for assessment of health conditions with limited monitoring of health parameters through medical devices. It is a first important step towards the vision of a pervasive hospital that will take medical expertise, continuous health monitoring, early diagnosis, and in some cases personalized therapy administration beyond the walls of hospitals and into our homes. Pervasive computing has a major role in achieving this vision by designing secure edge-cloud-based systems with the capability of analyzing data acquired from wearable and home-based IOT and medical IOT devices. The new pervasive telehealth systems have the potential to significantly increase the quality of patient care through a continuous data-rich assessment model and to mitigate the sustainability problem of public health systems by reducing hospitalization. Based on a long-term project in cooperation with university hospitals and medical teams, this talk illustrates the main data management and analysis challenges in achieving this vision, including personal data protection and AI challenges due to data scarcity.

Monday, March 11 10:30 - 12:00

Paper Session 1: Human Activity Recognition

Chair: Gabriele Civitarese (University of Milan, Italy)

• Xi Chen, Julien Cumin, Fano Ramparany, Dominique Vaufreydaz. Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition

• Bonpagna Kann, Sandra Castellanos-Paez, Philippe Lalanda, Sethserey Sam. Cross-Dataset Continual Learning: Assessing Pre-Trained Models to Enhance Generalization in HAR

• Lars Mathuseck, Johann Götz, Lennart Busch, Klaus David. BikeSense: Riding Behaviour Recognition Using An Instrumented Bicycle

Monday, March 11 14:00 - 15:00

Paper Session 2: Human Behavior Monitoring

Chair: Pascal Hirmer (University of Stuttgart, Germany)

• Alexander Hoelzemann, Marius Bock, Kristof Van Laerhoven. Evaluation of Video-Assisted Annotation of Human IMU Data Across Expertise, Datasets, and Tools

• Darshit Pandya, Heiner Stuckenschmidt. Evaluating the impact of different Acoustic Contexts on German Speech Recognition

Monday, March 11  15:30 - 16:30

Paper Session 2:  Context-Awareness

Chair: Jadwiga Indulska (The University of Queensland, Australia)

• Stefano Mariani, Franco Zambonelli. Distributed Discovery of Causal Networks in Pervasive Environment

• Shakthi Yasas Weerasinghe, Kanaka Sai Jagarlamudi, Arkady Zaslavsky, Seng W Loke, Kevin Lee, Guang-Li Huang. Improving the Usefulness of Context Information for IoT Applications

Monday, March 11 16:30 - 16:45

Discussion, Feedback, and Farewell