Socially, culturally and contextually aware robots
Published in Frontiers in Robotics and AI
Socially, culturally and contextually aware robots
Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease
Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson’s disease (PD) characterized by the inability to move the feet forward despite the intention to walk. It is one of the most troublesome symptoms of PD, leading to an increased risk of falls and reduced quality of life. The combination of wearable inertial sensors and machine lea...
In which context are we interacting? A Context Reasoner for interactive and social robots
To effectively interact with others, one has to understand the context in which the interaction takes place. This understanding allows us to know how to act, how to interpret others' actions, and thus how to react. In this paper, we first present a basic formalism of the notion of context through the use of an ontology in order to integrate the new...
IBSync: Intra-body synchronization and implicit contextualization of wearable devices using artificial ECG landmarks
Published in Frontiers in Computer Science
With a smaller form factor and a larger set of applications, body-worn devices have evolved into a collection of simultaneously deployed hardware units, rather than into a single all-round wearable. The sensor data, logged by such devices across the user's body, contains a wealth of information but is often difficult to synchronize. Especially the ...
Photo2Video: Semantic-Aware Deep Learning-Based Video Generation from Still Content
Applying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true that ML is already popular for content creation, but the progress achieved so far addresses essentiall...
Intra-Company Crowdsensing: Datafication with Human-in-the-Loop
Every day employees learn about things happening in their company. This includes plain facts witnessed while on the job, related or not to one’s job responsibilities. Many of these facts, which we call “occurrence data”, are known by employees but remain unknown to the company. We suppose that some of them are valuable and may improve the company’s...
TASC4RE: A data-driven context model to support the elicitation of context-aware functionalities: Paper presented at IEE...
In requirements elicitation for context-aware systems, context modeling is an essential early step. However, it has been overlooked by practitioners due to its perceived high complexity, in particular when it comes to the analysis of how different contexts may influence a user task of interest. To change this situation, data-driven context modeling...
Privacy framework for context-aware robot development
Published in Paladyn, Journal of Behavioral Robotics
Privacy is an essential topic in (social) robotics and becomes even more important when considering interactive and autonomous robots within the domestic environment. Robots will collect a lot of personal and sensitive information about the users and their environment. Thereby, privacy does consider the topic of (cyber-)security and the protection ...
Context-Aware Human Activity Recognition in Industrial Processes
The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes. One challenge for accurate activity recognition in these domains is the context-dependence of activities: Similar movements can correspond to different activities, depending on, e.g...
The Three A’s of Wearable and Ubiquitous Computing: Activity, Affect, and Attention
Published in Frontiers in Computer Science
