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.

November 2017 – Arash Atrsaei new PhD student with LMAM

In the framework of the Marie Sklodowska Curie Innovative Training Network, entitled ‘Industrial Academic Initial Training Network towards specific diagnosis and treatment of age-related gait and balance deficits- Keep Control’,  Atrsaei  has started with company Gait Up, a new PhD thesis in LMAM.

October 2017 – New EPFL-Stanford Exchange program Fellowship

Dr Wei Zhang, post-doc at LMAM, obtained an EPFL-Stanford Exchange Program Fellowship for multivariate analysis of post-stroke patients behavior in collaboration with the Wearable Health Lab.

29th September 2017 – Wittiest talk in Biologging science symposium

The Rory Wilson prize for “Wittiest talk” was awarded to Pritish Chakravarty for his work on accelerometer-based behaviour recognition model as a tool to investigate meerkat dispersal, in the 6th Biologging science symposium.  He gives here a personal account of his experience at the first animal bio-logging conference that our lab has been represented at.

12th September 2017 – A PLOS ONE article with runnable code and a video protocol 

For the first time Benedikt Fasel and colleagues published an article (Validation of functional calibration and strap-down joint drift correction for computing 3D joint angles of knee, hip, and trunk in alpine skiing) with runnable code and a video protocol on PLOS ONE. All relevant data are available within the paper. The source code along with example data was made public on the Code Ocean platform (DOI: 10.24433/CO.3f699198-4e77-4d51-8482-13d1b9ad93b8). The functional calibration protocol, along with videos are accessible on (DOI: 10.17504/ The videos recorded by the authors add clarity to each step of the protocol and improve research reproducibility. For more information click here

7th July 2017

Benedikt Fasel has presented with success his public defense for his thesis entitled Drift Reduction for Inertial Sensor Based Orientation and Position Estimation in the Presence of High Dynamic Variability During Competitive Skiing and Daily-Life Walking”.  EPFL Thesis, n° 7803 .