A wearable system for monitoring the velocity variability in open water swimming and triathlon

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Bio-inspired underwater robots have several benefits compared to traditional underwater vehicles such as agility, efficiency, and an environmentally friendly body. However, the bio-inspired underwater robots developed so far have a single swimming mode, wh ...

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Nature provides a wide range of inspiration for building mobile micromachines that can navigate through confined heterogenous environments and perform minimally invasive environmental and biomedical operations. For example, microstructures fabricated in th ...

Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic information about risk of fall and frailty. In this study, we introduce instrumented shoes capable of recording movement and foot loading data unobtrusively ...

A child's natural gait pattern may be affected by the gait laboratory environment. Wearable devices using body-worn sensors have been developed for gait analysis. The purpose of this study was to validate and explore the use of foot-worn inertial sensors f ...

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The best known analytical model of swimming was originally developed by Lighthill and is known as the large amplitude elongated body theory (LAEBT). Recently, this theory has been improved and adapted to robotics through a series of studies ranging from hy ...

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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 ...

We propose a new method, based on inertial sensors, to automatically measure at high frequency the durations of the main phases of ski jumping (i.e. take-off release, take-off, and early flight). The kinematics of the ski jumping movement were recorded by ...

Thanks to decades of research, gait analysis has become an efficient tool. However, mainly due to the price of the motion capture systems, standard gait laboratories have the capability to measure only a few consecutive steps of ground walking. Recently, w ...

Background and aims. Falls among older people remain a major public health challenge. Body-worn sensors are needed to improve the understanding of the underlying mechanisms and kinematics of falls. The aim of this systematic review is to assemble, extract ...

Most existing robots are designed to exploit only one single locomotion mode, such as rolling, walking, flying, swimming, or jumping, which limits their flexibility and adaptability to different environments where specific and different locomotion capabili ...

A wearable system for monitoring the velocity variability in open water swimming and triathlon

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Development of Bio-inspired Underwater Robot with Adaptive Morphology Capable of Multiple Swimming Modes

Instrumented shoes for daily activity monitoring in healthy and at risk populations

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Instrumented shoes for activity classification in the elderly

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Measurement of the dynamics in ski jumping using a wearable inertial sensor-based system

Improved Lighthill fish swimming model for bio-inspired robots: Modeling, computational aspects and experimental comparisons

Salamandra Robotica II: An Amphibious Robot to Study Salamander-Like Swimming and Walking Gaits

Magnetic helical micromachines: Fabrication, controlled swimming, and cargo transport

Inertial measurement unit and biomechanical analysis of swimming: an update

Automatic measurement of key ski jumping phases and temporal events with a wearable system

Evaluation of a mixed approach combining stationary and wearable systems to monitor gait over long distance

Fall detection with body-worn sensors A systematic review

A Flying Robot with Adaptive Morphology for Multi-Modal Locomotion