69 citations · 126 across the 14 of their papers we have counts for
4 papers · 1 filter
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR
Dominique Nshimyimana, Vitor Fortes Rey, Paul Lukowic
Machine learning algorithms are improving rapidly, but annotating training data remains a bottleneck for many applications. In this paper, we show how real data can be used for sel…
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition
Vitor Fortes Rey, Sungho Suh, Paul Lukowicz
We address the well-known wearable activity recognition problem of having to work with sensors that are non-optimal in terms of information they provide but have to be used due to…
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Bearing is a key component in industrial machinery and its failure may lead to unwanted downtime and economic loss. Hence, it is necessary to predict the remaining useful life (RUL…
Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields
Tom Hanika, Marek Herde, Jochen Kuhn +8
The field of collaborative interactive learning (CIL) aims at developing and investigating the technological foundations for a new generation of smart systems that support humans i…