Human Movement Biomechanics

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Presentation of research activities

Our unit aims to improve the understanding of the human movement from the perspective of the senses. The ability to move as intended without difficulty is a basic for a good quality of life. Similarly, being able to achieve the right movement at the right time is fundamental in sport. While multiple alterations of the senses could impair the movement, on the other end, interventions focused on the senses could improve the movement and interventions improving the movement could help individuals with limited senses. Our research primarily analyzes the kinetics, kinematics and muscular activities of the individuals with respect to the senses and builds on fundamental knowledge to design methods aiming at enhancing the movement, the senses or both. Intrinsically translational, our unit is driven by synergies across engineering and health and sport sciences.

Julien Favre

Dr Favre received his engineer degree in electrical and electronic engineering in 2003 and his PhD in Biomechanics in 2008, from the l’École Polytechnique Fédérale de Lausanne (EPFL). His doctoral research was mainly devoted to the development of devices based on inertial sensors intended to analyse motion in lower limbs, as well as the study of the functioning of the knee after rupture and reconstruction of the anterior cruciate ligament. After his PhD, Dr Favre joined the University of Stanford, where he pursued his research on the mechanics of the knee and osteoarthritis. During his five-year stay in California, he also worked on the structure of cartilage and began developing methods aiming to analyse tissue properties through the use of biomedical imaging. In 2014, he joined the Centre Hospitalier Universitaire Vaudois (CHUV) as co-director of the Gait Laboratory. The same year, he cofounded the Swiss BioMotion lab (SBML).

CHUV
Hôpital Nestlé – NES/03/063
Av. Pierre Decker 5
1011 Lausanne
Switzerland
The Swiss BioMotion Lab (SBML)

Partnership

Key publications

PubMed ORCID

Could gait biomechanics become a marker of atypical neuronal circuitry in human development? — The example of autism spectrum disorder.

Jequier Gygax, M., Maillard, A. M., & Favre, J. (2021).
Frontiers in bioengineering and biotechnology, 9, 624522.

Changes in lower limb biomechanics when following floor-projected foot placement visual cues for gait rehabilitation.

Edd, S. N., Martins, N. V., Bennour, S., Ulrich, B., Jolles, B. M., & Favre, J. (2020).
Gait & Posture, 77, 293-299

A gait retraining system using augmented-reality to modify footprint parameters: Effects on lower-limb sagittal-plane kinematics.

Bennour, S., Ulrich, B., Legrand, T., Jolles, B. M., & Favre, J. (2018).
Journal of biomechanics, 66, 26-35.

A neural network model to predict knee adduction moment during walking based on ground reaction force and anthropometric measurements.

Favre, J., Hayoz, M., Erhart-Hledik, J. C., & Andriacchi, T. P. (2012).
Journal of biomechanics, 45(4), 692-698.

Ambulatory measurement of 3D knee joint angle.

Favre, J., Jolles, B. M., Aissaoui, R., & Aminian, K. (2008).
Journal of biomechanics, 41(5), 1029-1035.