The research themes of this joint team (LABO - LAF) include all anatomical, physiological, functional and biomechanical aspects of
the musculoskeletal system. Projects are aimed both at improving knowledge of morphology and biomechanics, and at developing
innovative methods of movement analysis and practical or clinical applications. This involves innovative approaches to
multidimensional data collection and analysis (including the organization of complex experimental protocols, the construction of experimental
set-ups, the adaptation and creation of hardware, and the development of algorithms and modeling methods).  
The resources found at the LAF make it unique in its field, as it is one of the only places in the world to bring together so
many resources (motion analysis, medical imaging, body donation, etc.) with a truly multidisciplinary team that is well trained to
deal with the various aspects required for this research. 
Current research projects: 
- Evaluation and calculation of curvature profiles of the entire spine, as well as measurements of variations in thoracic
geometry using a digitized manual anatomical double palpation method (a probe on each hand enabling distance measurements dynamically
during respiratory movement) (PhD thesis supervision and collaboration with the Neurosurgery department). 
- Measurement of sagittal balance using force (AMTI) and dynamic pressure (RsScan) platforms. 
- Analysis of spatio-temporal parameters and changes in center of pressure and plantar pressures during walking in healthy
subjects and those suffering from low back pain. 
- Validation of virtual reality methods for assessing mobility and proprioception of the cervical spine. 
- Creation of specific musculoskeletal models, including the creation of lever arms in different body joints: hip, ankle, knee,
shoulder and jaw.  
- Development of an original software program, 'lhpFusionBox', for the fusion of heterogeneous data, enabling these data to be
integrated into the same spatio-temporal space, and quantified. This software is used for most of LAF's doctoral theses.