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Researcher
Stef Vandermeeren
- Disciplines:Communications technology, Communications
Affiliations
- Department of Telecommunications and information processing (Department)
Member
From13 Aug 2015 → 24 Sep 2023
Publications
1 - 8 of 8
- Deep-learning-based step detection and step length estimation with a handheld IMU(2022)
Authors: Stef Vandermeeren, Heidi Steendam
Pages: 24205 - 24221 - PDR/UWB based positioning of a shopping cart(2021)
Authors: Stef Vandermeeren, Heidi Steendam
Pages: 10864 - 10878 - Feature selection for machine learning based step length estimation algorithms(2020)
Authors: Stef Vandermeeren, Herwig Bruneel, Heidi Steendam
- Step detection using LSTM networks(2019)
Authors: Stef Vandermeeren, Herwig Bruneel, Heidi Steendam
Number of pages: 1 - A feature ranking and selection algorithm for machine learning-based step counters(2018)
Authors: Stef Vandermeeren, Samuel Van de Velde, Herwig Bruneel, Heidi Steendam
Pages: 3255 - 3265 - Experimental evaluation of UWB indoor positioning for sport postures(2018)
Authors: Matteo Ridolfi, Stef Vandermeeren, Jense Defraye, Heidi Steendam, Dirk De Clercq, Jeroen Hoebeke, Eli De Poorter
- Feature selection for machine learning based step length estimation algorithms(2018)
Authors: Stef Vandermeeren, Herwig Bruneel, Heidi Steendam
Number of pages: 1 - Machine and Deep Learning and Sensor Fusion for Pedestrian Dead Reckoning Applications
Authors: Stef Vandermeeren
Number of pages: 1