Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
Multi-agent deep-learning based comparative analysis of team sport trajectories
Computational analysis of multi-agent trajectories is a fundamental issue in the study of real-
world biological agents. For trajectory analysis, combining movement data with labels (eg …
world biological agents. For trajectory analysis, combining movement data with labels (eg …
Barking dogs: A Fr\'echet distance variant for detour detection
Imagine you are a dog behind a fence $ Q $ and a hiker is passing by at constant speed
along the hiking path $ P $. In order to fulfil your duties as a watchdog, you desire to bark as …
along the hiking path $ P $. In order to fulfil your duties as a watchdog, you desire to bark as …
Multi-agent deep-learning based comparative analysis in basketball
Analysis of multi-agent trajectories is one of the fundamental issues for understanding real-
world biological movements. For trajectory analysis, combining with labels (eg scored or not …
world biological movements. For trajectory analysis, combining with labels (eg scored or not …
Task-space Kernels for Diverse Stein Variational MPC
Model predictive control (MPC) has a proven track record for delivering robust performance
in many challenging control tasks, however non-linear system dynamics and non-convex …
in many challenging control tasks, however non-linear system dynamics and non-convex …