Computational Movement Analysis

Our group focuses on three main areas:

  1. capturing movement,
  2. the biomechanical analysis of human movement,
  3. statistical learning from human movement.

For neuroscientist Daniel Wolpert: “We have a brain for one reason and one reason only -- that’s to produce adaptable and complex movements.”

We are interested in the understanding of the neural control of movement and the biomechanical effect of movement to the human body. We have a particular interest in gait, because it is humans’ main means of transportation, and posture. We focus on understanding pathological gait whether it is due to neural or biomechanical causes. Most of our projects involve collaboration with clinicians at the University Children's Hospital, Basel and other clinical centres.

The group benefits from the support of two state of the art motion capture facilities: the clinical motion analysis centre at UKBB and CADENCE at the DBE.

We are currently involved in two main projects:

  1. IDPAT: Understanding the causes of patella instability, which is funded by the SNF,
  2. EVIGAITCP: Determining the effect of surgical treatments in children with cerebral palsy using causal inference form multicentric gait databases, which is funded by the Swiss Personalised Health Network (SPHN) and the Ralf Loddenkemper Stiftung.

We also have a range of smaller projects suitable for master students which may be found at the links below.

DBE

Dr. Morgan Sangeux
Head of Computational Movement Analysis
Hegenheimermattweg 167C
4123 Allschwil, Switzerland