53 citations · 56 across the 5 of their papers we have counts for
5 papers
Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection
Jonas Van Der Donckt, Jeroen Van Der Donckt, Sofie Van Hoecke
This work presents the solution of the Signal Sleuths team for the 2024 HASCA WEAR challenge. The challenge focuses on detecting 18 workout activities (and the null class) using ac…
Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke
This work presents the solution of the Signal Sleuths team for the 2024 SHL recognition challenge. The challenge involves detecting transportation modes using shuffled, non-overlap…
Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring
Jonas Van Der Donckt, Nicolas Vandenbussche, Jeroen Van Der Donckt +7
Chronic disease management and follow-up are vital for realizing sustained patient well-being and optimal health outcomes. Recent advancements in wearable sensing technologies, par…
tsdownsample: high-performance time series downsampling for scalable visualization
Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke
Interactive line chart visualizations greatly enhance the effective exploration of large time series. Although downsampling has emerged as a well-established approach to enable eff…
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost +4
Over the last few years, research in automatic sleep scoring has mainly focused on developing increasingly complex deep learning architectures. However, recently these approaches a…