The multidisciplinary research of the Laboratory of Movement Analysis and Measurement aims to transfer bioengineering findings into clinical applications. We are particularly interested to characterize sport performances and pathologies affecting motor function such as osteoarthritis, frailty, pain or movement disorder by studying the movement ability.
Our research involves biomechanical instrumentation for measuring and modelling human biodynamics in daily conditions, during spontaneous activity or physical exercises.Based on body worn sensors, we design wearable systems and algorithms for long-term monitoring of physical activity and gait analysis, for the estimation of the 3D joint kinematics and kinetics, and for the sport performance evaluation. This involves advanced signal processing, multi-parametric approach, sensors’fusion and functional calibration methods to devise new methods for activity recognition and to extract relevant disease/health related features hidden in human biomechanical signals.
Based on these features and instruments new metrics are defined and validated to provide early diagnosis and objective clinimetry for outcome evaluation in orthopaedics and aging, to assess the change of motor function with disease and rehabilitation, to characterise improved performances in sport, and to classify movement disorders.
September 2018 – Two EPFL Innovators grants
Salil Apte and Mahdi Hamidi Rad have started two new PhD thesis in sport engineering field thanks to two new EPFL Innovators grants
4th May 2018 – Archinisis a new startup from LMAM
Dr Benedikt Fasel, who finished with success his PhD in 2017 in LMAM, has created the company named Archinisis. Archinisis provides solutions and services for analysis of performance in elite sports by video and sensors fusion.
2nd February 2018 – LMAM in SRF program Einstein
On the occasion of the 2018 Pyeongchang Winter Olympics a special program Einstein on SRF was dedicated to the impact of innovation on improving performance in ski and particularly to the wearable system developed by LMAM for speed and kinematic analysis.
January 2018 – Arash Arami assistant professor at the Univesrity of Waterloo
Dr Arash Arami who finished his PhD thesis with success in LMAM in 2014 has started as faculty member of the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. Arami’s Lab is active in human neuromechanical modeling, motor control theory and machine learning for personalised assistance and robotic rehabilitation.