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Found 8 papers, 0 papers with code
Towards Measuring Ethicality of an Intelligent Assistive System
There is a lack of research when it comes to analysing how such IAT adheres to provided ethical regulations due to ethical, logistic and cost issues associated with such an analysis.
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
We propose to identify such segments of similar behavior via clustering the distributions of annotations of the time segments.
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs
We study sensor-based human activity recognition in manual work processes like assembly tasks.
Human Activity Recognition using Attribute-Based Neural Networks and Context Information
Here, we show how such context information can be integrated systematically into a deep neural network-based HAR system.
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance
Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data.
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Furthermore, we provide new high-level categories that classify the approaches, based on common properties of the approaches.
Lifted Filtering via Exchangeable Decomposition
We present a model for exact recursive Bayesian filtering based on lifted multiset states.
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
We sketch a novel inference algorithm that provides a solution by incorporating concepts from Lifted Inference algorithms, Probabilistic Multiset Rewriting Systems, and Computational State Space Models.
