EuroMov Digital Health in Motion (EuroMov DHM)
The “EuroMov Digital Health in Motion” research unit aims to foster cross-fertilization between artificial intelligence, movement sciences, and health sciences to understand human behavioral plasticity, with the goal of improving sensorimotor performance and exploring new therapeutic approaches, while also identifying a scientific metaphor that can inspire new digital approaches: machine learning or adaptive control of complex systems, human-machine interaction, and context-aware software systems.
This line of research on “Digital Health in Motion” ultimately aims to better understand the etiology of human movement—viewed as the level at which biological and cognitive phenomena are integrated—during our constant exchange of information with the environment.
The research unit is organized into three scientific themes and two cross-cutting areas:
- Theme: Perception in Action & Synchronization (PIAS): Exploring 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 guidance 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) research group focuses on the study of human learning and complexity through the analysis of health-related movement patterns, clinical data, and neural activity indicators, with a particular emphasis on developing interpretable models.
- Cross-cutting research area: Semantics and Taxonomy of Movement (SemTaxM): identifying taxonomic classifications of movement and developing a theory of movement-based semantics and semantic models grounded in specific contexts.
- The Factory cross-cutting initiative aims to improve the reproducibility of results and accelerate translational research and technology transfer by providing standardized and documented approaches, along with an open data dissemination strategy.
Label: UR_UM102
Primary affiliations: UM, IMT Mines Ales
Research cluster: Biology and Health
Doctoral schools: Information, Structures, Systems;Human Movement Sciences
HAL portal: publications from the unit
