Farzin Dadashi

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Related publications (29)

A Hidden Markov Model of the Breaststroke Swimming Temporal Phases Using Wearable Inertial Measurement Units

Kamiar Aminian, Arash Arami, Farzin Dadashi, Grégoire Millet, Florent Crettenand

The recent advances in wearable inertial sensors opened a new horizon for pervasive measurement of human locomotion even in aquatic environment. In this paper we proposed an automatic approach of detecting the key temporal events of breaststroke swimming a ...

Ieee2013

Inertial measurement unit and biomechanical analysis of swimming: an update

Kamiar Aminian, Farzin Dadashi, Grégoire Millet

The biomechanical analysis of swimming always faced impeding factors of measurement in the aquatic environment. Our current knowledge of swimming locomotion is very much owing to employing video cameras to capture the body kinematics. Nevertheless, the rec ...

2013

Towards Estimation of Front-crawl Energy Expenditure Using the Wearable Aquatic Movement Analysis System (WAMAS)

Kamiar Aminian, Farzin Dadashi, Grégoire Millet, Florent Crettenand

Inertial measurement unit (IMU) is a promising tool in the quantification of energy expenditure for human on-land activities, though has never been deployed before to calculate the aquatic activities energy expenditure. Investigating the factors that influ ...

Ieee2013

Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

Presented is an accurate swimming velocity estimation method using an inertial measurement unit (IMU) by employing a simple biomechanical constraint of motion along with Gaussian process regression to deal with sensor inherent errors. Experimental validati ...

Institution of Engineering and Technology2013

Automatic Front-Crawl Temporal Phase Detection Using Adaptive Filtering of Inertial Signals

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

This study introduces a novel approach for automatic temporal phase detection and inter-arm coordination estimation in front-crawl swimming using inertial measurement units (IMUs). We examined the validity of our method by comparison against a video-based ...

Taylor & Francis2013

Estimation of front-crawl velocity by inertial sensors

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

European Database of Sport Science (EDSS)2012

Multiscale entropy based features for spasticity diagnoses

Kamiar Aminian, Farzin Dadashi, Benoît Mariani, Daisuke Negishi

2012

Front-Crawl Instantaneous Velocity Estimation Using a Wearable Inertial Measurement Unit

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

Monitoring the performance is a crucial task for elite sports during both training and competition. Velocity is the key parameter of performance in swimming, but swimming performance evaluation remains immature due to the complexities of measurements in wa ...

Mdpi Ag2012

Front-Crawl Propulsive Phase Detection Using Inertial Sensors

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

Front crawl is an alternating swimming stroke technique in which different phases of arm movement induce changes in acceleration of limbs and body. This study proposes a new approach to use inertial body worn sensors to estimate main temporal phases of fro ...

2011

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