Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies

@inproceedings{Kareem2018AriannaSH,
  title={Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies},
  author={Syed Yusha Kareem and Luca Buoncompagni and F. Mastrogiovanni},
  booktitle={AI*IA},
  year={2018}
}
Aging population ratios are rising significantly. Meanwhile, smart home based health monitoring services are evolving rapidly to become a viable alternative to traditional healthcare solutions. Such services can augment qualitative analyses done by gerontologists with quantitative data. Hence, the recognition of Activities of Daily Living (ADL) has become an active domain of research in recent times. For a system to perform human activity recognition in a real-world environment, multiple… Expand
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References

SHOWING 1-10 OF 18 REFERENCES
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
TLDR
This paper presents a generic system architecture for the proposed knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes, and describes the underlying ontology-based recognition process. Expand
Is ontology-based activity recognition really effective?
TLDR
Evaluating the effectiveness of the ontological approach to activity recognition shows that, when ontological techniques are extended with even simple forms of temporal reasoning, their effectiveness is comparable to the one of a state-of-the-art technique based on Hidden Markov Models. Expand
Using Ontologies for the Online Recognition of Activities of Daily Living†
TLDR
Statistics are used to determine the most appropriate length of that interval for each type of activity and the results obtained show a significant increase in the accuracy of the classification models generated with respect to the classical approach. Expand
A survey on health monitoring systems for health smart homes
TLDR
An extensive, in-depth analysis and evaluation of the existing research findings in the area of e-health systems, including systems for the elderly and dependent people, and presents challenges and open issues facing the smart HMS field. Expand
Multi-modal sensing for human activity recognition
TLDR
The main contribution of the article is the design of an heterogeneous information management framework, allowing for the description of a wide variety of human activities in terms of multi-modal environmental and wearable sensing data and providing accurate knowledge about the user activity to any assistive robot. Expand
Real-Time Activity Classification Using Ambient and Wearable Sensors
TLDR
This paper investigates the use of a light-weight ear worn activity recognition device combined with wireless ambient sensors for identifying common activities of daily living and presents a two-stage Bayesian classifier that uses information from both types of sensors. Expand
Activity Discovery and Activity Recognition: A New Partnership
TLDR
This paper describes a method by which activity discovery can be used to identify behavioral patterns in observational data and demonstrates that activity discovery not only sheds light on behavioral patterns, but it can also boost the performance of recognition algorithms. Expand
Describing and Recognizing Patterns of Events in Smart Environments With Description Logic
TLDR
A system for context awareness in smart environments, based on an ontology expressed in description logic and implemented in OWL 2 EL, which is a subset of the Web Ontology Language that allows for reasoning in polynomial time. Expand
Smart homes and home health monitoring technologies for older adults: A systematic review
TLDR
The level of technology readiness for smart homes and home health monitoring technologies is still low and the highest level of evidence found was in a study that supported home health technologies for use in monitoring activities of daily living, cognitive decline, mental health, and heart conditions in older adults with complex needs. Expand
Arianna: towards a new paradigm for assistive technology at home
TLDR
The main concepts underlying Teseo's features and capabilities are outlined, which allows for the automated recognition of activities of daily living at home and acts as a wellbeing and healthcare personalized assistant. Expand
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