Program
Monday, March 22 9:30 - 9:45
S0: 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 22 9:45 - 10:30
S1: Keynote: Explainable AI in Pervasive Healthcare: Open Challenges and Research Directions
Chair: Jadwiga Induslka
Daniele Riboni (University of Cagliari, Italy)
Abstract: In our ageing society, there is increasing need for innovative tools to early detect fragility and non communicable diseases of the elderly population. To this aim, in the last few years, several research efforts have been made to exploit sensorized smart-homes and artificial intelligence (AI) methods to detect health issues of the elderly. However, most of these AI systems act as black-boxes, leading to a low level of trust by the clinicians and by the final users. Moreover, they provide limited support to clinicians in making a diagnosis, since they do not provide any explanation of the reason why a given prediction was computed. This talk addresses this challenging problem and our research efforts on this topic. The talk will present a novel AI system to detect cognitive decline symptoms in smart homes, which is supported by explainable AI capabilities. The system relies on clinical indicators of abnormal behaviors, spatial disorientation, and wandering. An AI-fueled dashboard allows clinicians to inspect anomalies together with the explanations of predictions. The system was experimented with a large set of real-world subjects, including people with MCI and people with dementia.
Monday, March 22 11:00 - 12:30
S2: Deep Learning Techniques for Human Activity Recognition
Chair: Gabriele Civitarese
Koichi Shimoda; Akihito Taya; Yoshito Tobe
Combining Public Machine Learning Models by Using Word Embedding for Human Activity Recognition
Alexander Hoelzemann; Nimish Sorathiya; Kristof Van Laerhoven
Data Augmentation Strategies for Human Activity Data Using Generative Adversarial Neural Networks 30.0
Alejandro Sanchez Guinea; Mehran Sarabchian; Max Mühlhäuser
Image-based Activity Recognition from IMU Data
Monday, March 22 2:00 - 3:30
S3: Human Activity Recognition in Smart Environments
Chair: Pascal Hirmer
Hyunju Kim; Dongman Lee
TAP: A Transformer based Activity Prediction Exploiting Temporal Relations in Collaborative Tasks
Nils Wilken; Heiner Stuckenschmidt
Combining Symbolic and Statistical Knowledge for Goal Recognition in Smart Home Environments
Claudio Bettini; Gabriele Civitarese; Michele Fiori
Explainable Activity Recognition over Interpretable Models
Friday, March 22 4:00 - 5:30
S4: Context-Aware IoT Systems
Chair: Daniele Riboni
Ayumi Ohnishi; Hayate Tohnan; Tsutomu Terada; Minoru Hattori; Hisaaki Yoshinaka; Yusuke Sumi; Hiroyuki Egi; Masahiko Tsukamoto
A Method for Estimating Doctor's Fatigue Level in Operating a Surgical Robot Using Wearable Sensors
Marco Lippi; Stefano Mariani; Franco Zambonelli
Developing a "Sense of Agency" in IoT Systems: Preliminary Experiments in a Smart Home Scenario
David Welsh; Abu Zaher Md Faridee; Nirmalya Roy
Hybrid Distance-Based Framework for Classification of Embedded Firearm Recoil Data
Friday, March 27 5:30 - 5:45
S5: Discussion, Feedback and Farewell