2 citations · 5 across the 4 of their papers we have counts for
6 papers
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs
Timon Felske, Stefan Lüdtke, Sebastian Bader +1
We study sensor-based human activity recognition in manual work processes like assembly tasks. In such processes, the system states often have a rich structure, involving object pr…
Human Activity Recognition using Attribute-Based Neural Networks and Context Information
Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed +2
We consider human activity recognition (HAR) from wearable sensor data in manual-work processes, like warehouse order-picking. Such structured domains can often be partitioned into…
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance
Muhammad Salman Shaukat, Bjarne Christian Hiller, Sebastian Bader +1
Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data. However, data collection poses ethical, legal…
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Stefan Lüdtke, Max Schröder, Frank Krüger +2
Tasks such as social network analysis, human behavior recognition, or modeling biochemical reactions, can be solved elegantly by using the probabilistic inference framework. Howeve…
Gaussian graphical models reveal inter-modal and inter-regional conditional dependencies of brain alterations in Alzheimer's disease
Martin Dyrba, Reza Mohammadi, Michel J. Grothe +2
Alzheimer's disease (AD) is characterized by a sequence of pathological changes, which are commonly assessed in vivo using MRI and PET. Currently, the most approaches to analyze st…
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
Max Schröder, Stefan Lüdtke, Sebastian Bader +2
Bayesian Filtering for plan and activity recognition is challenging for scenarios that contain many observation equivalent entities (i.e. entities that produce the same observation…