Personne
Benoît Mariani
Cette personne n’est plus à l’EPFL
Publications associées (16)
On-shoe wearable sensors for gait and turning assessment of patients with Parkinson’s disease
Kamiar Aminian, Benoît Mariani
Assessment of locomotion through simple tests such as timed up and go (TUG) or walking trials can provide valuable information for the evaluation of treatment and the early diagnosis of people with Parkinson's disease (PD). Common methods used in clinics a ...
Institute of Electrical and Electronics Engineers2013Assessment of Foot Signature Using Wearable Sensors for Clinical Gait Analysis and Real-Time Activity Recognition
Locomotion is one of the most important abilities of humans. Actually, gait locomotion provides mobility, and symbolizes freedom and independence. However, gait can be affected by several pathologies, due to aging, neurodegenerative disease, or trauma. The ...
EPFL2012Heel and Toe Clearance Estimation for Gait Analysis Using Wireless Inertial Sensors
Kamiar Aminian, Benoît Mariani
Tripping is considered a major cause of fall in older people. Therefore, foot clearance (i.e., height of the foot above ground during swing phase) could be a key factor to better understand the complex relationship between gait and falls. This paper presen ...
Institute of Electrical and Electronics Engineers2012System and method for 3d gait assessment
Kamiar Aminian, Benoît Mariani
The invention relates to a system and a method for assessment of walking and running gait in human. The method is preferably based on the fusion of a portable device featuring inertial sensors and several new dedicated signal processing algorithms: the det ...
2012Foot worn inertial sensors for gait assessment and rehabilitation based on motorized shoes
Kamiar Aminian, Anisoara Ionescu, Benoît Mariani
Fall prevention in elderly subjects is often based on training and rehabilitation programs that include mostly traditional balance and strength exercises. By applying such conventional interventions to improve gait performance and decrease fall risk, some ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa20113D gait assessment in young and elderly subjects using foot-worn inertial sensors
Kamiar Aminian, Benoît Mariani
This study describes the validation of a new wearable system for assessment of 3D spatial parameters of gait. The new method is based on the detection of temporal parameters, coupled to optimized fusion and de-drifted integration of inertial signals. Compo ...
Elsevier2010