3 citations · 5 across the 4 of their papers we have counts for
5 papers
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…
The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition
Sizhen Bian, Vitor Fortes Rey, Siyu Yuan +1
The current dominated wearable body motion sensor is IMU. This work presented an alternative wearable motion-sensing approach: human body capacitance (HBC, also commonly defined as…
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
Sungho Suh, Vitor Fortes Rey, Paul Lukowicz
User dependence remains one of the most difficult general problems in Human Activity Recognition (HAR), in particular when using wearable sensors. This is due to the huge variabili…
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
Vitor Fortes Rey, Kamalveer Kaur Garewal, Paul Lukowicz
Human activity recognition (HAR) using wearable sensors has benefited much less from recent advances in Machine Learning than fields such as computer vision and natural language pr…
Self-Adaptation of Activity Recognition Systems to New Sensors
David Bannach, Martin Jänicke, Vitor F. Rey +3
Traditional activity recognition systems work on the basis of training, taking a fixed set of sensors into account. In this article, we focus on the question how pattern recognitio…