Machine Learning for Movement Science
The application of AI methods in the field of human motion analysis has increased significantly in recent years. Machine learning can be applied both as a tool to provide us extra insight into data we have, or to improve our capturing of these data. For example, machine learning has been applied very successfully in the field of human motion analysis and measurement, where they allow us to determine the 3D motion of a human with only one (depth-sensing) camera combined with body shell recognition.
Furthermore, biologically inspired machine learning types - the artificial neural networks - can be used to increase our understanding of how biological neural networks function. By allowing us to manipulate the interconnections, learning rules and network architectures and comparing these findings to recordings of biological neural networks, we can generate hypotheses for how the biological networks function.