Results 31 to 40 of about 135,688 (296)
Distributed data fusion algorithms for inertial network systems [PDF]
, 2008 New approaches to the development of data fusion algorithms for inertial network systems are described. The aim of this development is to increase the accuracy of estimates of inertial state vectors in all the network nodes, including the navigation ...
Allerton, David J., Jia, Huamin
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Faster Deep Inertial Pose Estimation with Six Inertial Sensors
Sensors, 2022 We propose a novel pose estimation method that can predict the full-body pose from six inertial sensors worn by the user. This method solves problems encountered in vision, such as occlusion or expensive deployment. We address several complex challenges. First, we use the SRU network structure instead of the bidirectional RNN structure used in previous
Di Xia, Yeqing Zhu, Heng Zhang
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Linear encoder based low frequency inertial sensor
MATEC Web of Conferences, 2015 For many applications, there is an increasing demand for low cost, high-resolution inertial sensors, which are capable of operating in harsh environments.
Collette Christophe +4 more
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Optimal Configuration of Redundant Inertial Sensors for Navigation and FDI Performance
Sensors, 2010 This paper considers the optimal sensor configuration for inertial navigation systems which have redundant inertial sensors such as gyroscopes and accelerometers.
Duk-Sun Shim, Cheol-Kwan Yang
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Automatic pairing of inertial sensors to lower limb segments – a plug-and-play approach
Current Directions in Biomedical Engineering, 2016 Inertial sensor networks enable realtime gait analysis for a multitude of applications. The usability of inertial measurement units (IMUs), however, is limited by several restrictions, e.g. a fixed and known sensor placement.
Graurock David +2 more
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A proximity sensor for the measurement of the inter-foot distance in static and dynamic tasks [PDF]
, 2016 Measuring the base of support is of paramount importance in determining human stability during gait or balance tests. While wearable inertial sensors have been successfully employed to quantify numerous gait parameters (velocity, stride length, etc ...
Bertuletti, Stefano +3 more
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Applied Sciences, 2023 Gait analysis is important in a variety of applications such as animation, healthcare, and virtual reality. So far, high-cost experimental setups employing special cameras, markers, and multiple wearable sensors have been used for indoor human pose ...
Tsige Tadesse Alemayoh +2 more
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Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network
IEEE Access, 2018 This paper presents a wearable inertial sensor network and its associated activity recognition algorithm for accurately recognizing human daily and sport activities.
Yu-Liang Hsu +3 more
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The Journal of Engineering, 2022 Movement data from athletes are useful to quantify performance or more specifically the workload. Inertial measurement units (IMUs) are useful sensors to quantify body movements.
Damien Hoareau +5 more
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Inertial sensors technologies for navigation applications: state of the art and future trends
Satellite Navigation, 2020 Inertial navigation represents a unique method of navigation, in which there is no dependency on external sources of information. As opposed to other position fixing navigation techniques, inertial navigation performs the navigation in a relative sense ...
Naser El-Sheimy, Ahmed Youssef
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