Prof. Kamiar Aminian

Adjunct Professor

Kamiar Aminian received the M.S. degree in electrical engineering in 1982, the Ph.D degree in biomedical engineering in 1989 and the Postgraduate degree on technical computing in 1993 from Ecole Polytechnique Fédérale de Lausanne (EPFL). He was assistant professor (1994-1996) with Sharif University of Technology (Tehran). He joint EPFL in 1996 where he is currently Professor of medical instrumentation and the director of the Laboratory of Movement Analysis and Measurement in the Institute of Bioengineering of EPFL. His research interests include methodologies for human movement monitoring and analysis in real world conditions mainly based on wearable technologies and inertial sensors with emphasis on gait, physical activity and sport. His research aims to perform outcome evaluation in orthopaedics, to improve motor function and intervention programs in aging and patients with movement disorders and pain, and to identify metrics of performance in sport science.
Kamiar Aminian is a member of the International Society of Posture and Gait Research, the Institute of Electrical and Electronics Engineers, the European Society of Movement Analysis in Adults and Children, the Prevention of fall Network Europe, the Intentional Society of Biomechanics and the President of the 3D analysis of the human movement group. He is author or co-author of more than 450 scientific papers published in reviewed journals and presented at international conferences and holds 10 patents related to medical devices.

Full CV


Research Area

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 pervasive applications such as long-term monitoring of physical activity and gait analysis, estimation of the 3D joint kinematics and kinetics, and 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, to characterise improved performances in sport, and to classify movement disorders. Movement features are also studied to devise new technological based intervention for rehabilitation purpose. 


MED 0 1315 (Bâtiment MED)
Station 9
CH-1015 Lausanne