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