EuroMov Digital Health in Motion (EuroMov DHM)
The EuroMov Digital Health in Motion research unit aims to promote cross-fertilization between artificial intelligence, movement sciences, and health in order to understand human behavioral plasticity, improve sensorimotor performance, and develop new therapeutic approaches. It also seeks to find a scientific metaphor that can inspire new digital approaches: machine learning or adaptive control of complex systems, human/machine interaction, and context-sensitive software systems.
This line of research on "Digital Health in Motion" ultimately aims to better understand the etiology of human movement, considered as the level of integration of biological and cognitive phenomena, during our constant informational exchanges with the environment.
The research unit is organized into three scientific themes and two cross-cutting areas:
- Theme: Perception In Action & Synchronization (PIAS): discovering the laws governing human perception in moving agents (perception in action) and human-environment synchronization in general.
- Theme: Monitoring and Improving Behaviors (MIB): providing users with advice on how to improve their behaviors in order to achieve better health, quality of life, or athletic performance, with a particular focus on software engineering.
- The Learning and Complexity (LAC) theme focuses on the study of human learning and complexity through signatures of movement, clinical data, and indicators of neural activity, notably by developing interpretable models.
- Cross-cutting theme Semantics and Taxonomy of Movement (SemTaxM): identify taxonomic classifications of movement and define a theory of movement-based semantics and models of semantics rooted in specific contexts.
- The Factory cross-cutting theme aims to improve the reproducibility of results and accelerate translational research and technology transfer by providing standardized and documented approaches with an open data dissemination strategy.
Label: UR_UM102
Main supervisory bodies: UM, IMT MinesAles
Research cluster: Biology and Health
Doctoral schools: Information, Structures, Systems;Human Movement Sciences
HAL portal: publications by the organization
