F
Farzin Dadashi
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 27
Citations - 671
Farzin Dadashi is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Inertial measurement unit & Front crawl. The author has an hindex of 13, co-authored 25 publications receiving 501 citations. Previous affiliations of Farzin Dadashi include University of Tehran & École Normale Supérieure.
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Journal ArticleDOI
Gait and Foot Clearance Parameters Obtained Using Shoe-Worn Inertial Sensors in a Large-Population Sample of Older Adults
Farzin Dadashi,Benoit Mariani,Stéphane Rochat,Christophe Büla,Brigitte Santos-Eggimann,Kamiar Aminian +5 more
TL;DR: In this paper, a shoe-worn inertial sensor on each foot was used to extract the gait parameters during 20 m walking trials in a corridor at a self-selected pace.
Journal ArticleDOI
Front-Crawl Instantaneous Velocity Estimation Using a Wearable Inertial Measurement Unit
TL;DR: A single body-worn IMU provides timely feedback for coaches and sport scientists without any complicated setup or restraining the swimmer's natural technique and is a new practical tool for objective evaluation of swimming performance.
Journal ArticleDOI
Automatic front-crawl temporal phase detection using adaptive filtering of inertial signals
Farzin Dadashi,Florent Crettenand,Grégoire P. Millet,Ludovic Seifert,John Komar,Kamiar Aminian +5 more
TL;DR: A novel approach for automatic temporal phase detection and inter-arm coordination estimation in front-crawl swimming using inertial measurement units (IMUs), which offers an automatic easy-to-use system with timely feedback for the study of swimming.
Journal ArticleDOI
A wrist sensor and algorithm to determine instantaneous walking cadence and speed in daily life walking.
Benedikt Fasel,Cyntia Duc,Farzin Dadashi,Flavien Bardyn,Martin Savary,Pierre-André Farine,Kamiar Aminian +6 more
TL;DR: The aim of this study was to devise and validate an algorithm able to accurately estimate walking cadence and speed for daily life walking in various environments based on acceleration measured at the wrist, comparable to existing algorithms for trunk- or lower limb-fixed sensors.
Proceedings ArticleDOI
A Hidden Markov Model of the breaststroke swimming temporal phases using wearable inertial measurement units
Farzin Dadashi,Arash Arami,Florent Crettenand,Grégoire P. Millet,John Komar,Ludovic Seifert,Kamiar Aminian +6 more
TL;DR: This paper used two inertial measurement units worn on the right arm and right leg of seven swimmers to capture the kinematics of the breaststroke to propose an automatic approach of detecting the key temporal events of breaststroke swimming as a tentatively explored technique.