A Public Domain Dataset for ADL Recognition Using Wrist-placed Accelerometers
The automatic monitoring of specific Activitiesof Daily Living (ADL) can be a useful tool for Human-Robot Interaction in smart environments and Assistive Robotics applications. The qualitative definition that is given for most ADL and the lack of well-defined benchmarks, however,
Using fuzzy logic to enhance classification of human motion primitives
The design of automated systems for the recognition of specific human activities is among the most promising research activities in Ambient Intelligence. The literature suggests the adoption of wearable devices, relying on acceleration information to model the activities of interest
Wearable inertial sensors: Applications, challenges, and public test benches
The recent technological advances in sensor miniaturization and embedded processing have provided new challenges and possibilities to the field of wearable computing. Two research areas are particularly interested by this innovation: healthcare technology applications that are devoted to analyzing the
Recognition of human activities through wearable accelerometers
The automatic monitoring of human activities, with the purpose of determining the level of autonomy of an elderly person, is a challenging research field in Ambient Intelligence. Existing solutions follow one of two different approaches:s mart environments rely on heterogeneous
Analysis of human behavior recognition algorithms based on acceleration data.
The automatic monitoring of human activities, with the purpose of determining the level of autonomy of an elderly person, is a challenging research field in Ambient Intelligence. Existing solutions follow one of two different approaches:s mart environments rely on heterogeneous
Human motion modelling and recognition: A computational approach
The design of computational methods to recognize human motions is among the most promising research activities in Ambient Intelligence. Accepted solutions use acceleration data provided by wearable sensors. To design general procedures for motion modeling and recognition, this article adopts
A cognitive model for recognizing human behaviours in smart homes
This paper describes strategies for monitoring human behaviour within a smart home and, in a broader perspective, for context-assessment in cognitive systems. The proposed framework, which is inspired by a cognitive theory called Computational Functionalism, is aimed at integrating ontology
Human Activity Recognition Models in Ontology Networks
We present Arianna+, a framework to design networks of ontologies for representing knowledge enabling smart homes to perform human activity recognition online. In the network, nodes are ontologies allowing for various data contextualisation, while edges are general-purpose computational procedures elaborating
Persuasive and Polite Sentences to Drive Human-Robot Interaction in Smart Homes for Elderly Care
This paper addresses a scenario where a smart environment drives a proactive robot to motivate the elderly in maintaining a healthy lifestyle. The robot is in charge to trigger a vocal interaction with the person by proposing a suggestion that
OWLOOP: A modular API to describe OWL axioms in OOP objects hierarchies
OWLOOP is an Application Programming Interface (API) for using the Ontology Web Language (OWL) by the means of Object-Oriented Programming (OOP). It is common to design software architectures using the OOP paradigm for increasing their modularity. If the components of