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Published in 2017 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2016.11.003
Abstract: Innovative systems and automated computational procedures, such as those based on computer vision or inertial wearable sensors, have recently been adopted to provide effective and accurate monitoring and analysis of cow behaviour and respond to…
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Keywords:
algorithm;
real time;
analysis;
time ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.396
Abstract: Abstract In this paper, we present a method to obtain explicit, expressive and interpretable gait feature signals from an inertial sensor, mounted on any segment of the lower limbs. The proposed method is invariant to…
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Keywords:
feature signals;
expressive features;
inertial sensor;
gait ... See more keywords
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Published in 2022 at "Sports biomechanics"
DOI: 10.1080/14763141.2022.2051596
Abstract: Training load monitoring systems in football do not focus on lower extremities and therefore potentially neglect important information to optimise performance or reduce injury risk. The current study aims to present joint and segment angular…
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Keywords:
inertial sensor;
load;
sensor setup;
football ... See more keywords
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Published in 2020 at "Journal of neurotrauma"
DOI: 10.1089/neu.2020.7040
Abstract: The current sports concussion assessment paradigm lacks reliability, has learning effects and is not sufficiently challenging for athletes. As a result, subtle deficits in sensorimotor function may be unidentified, increasing the risk of future injury.…
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Keywords:
sensor instrumented;
concussion;
instrumented balance;
inertial sensor ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3115508
Abstract: This paper proposes an inertial sensor-based positioning method without using dead reckoning. The basic concept estimates the current position based on a pre-indexed map composed of spectrograms of road shapes estimated using inertial sensor signals.…
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Keywords:
based non;
dead reckoning;
inertial sensor;
sensor based ... See more keywords
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Published in 2018 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2018.2817599
Abstract: Aimed at the challenge of generating indoor localization databases with daily life crowdsourcing-based inertial sensor data, this paper proposes an anchor point-based forward–backward smoothing method to obtain reliable localization solutions. More importantly, a quantitative framework…
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Keywords:
sensor data;
method;
database;
inertial sensor ... See more keywords
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Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3062261
Abstract: Convolutional Neural Networks (CNNs) are successful deep learning models in the field of computer vision. To get the maximum advantage of CNN model for Human Action Recognition (HAR) using inertial sensor data, in this paper,…
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Keywords:
human action;
action recognition;
inertial sensor;
sensor data ... See more keywords
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Published in 2018 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2017.2785022
Abstract: This paper demonstrates a methodology, exploiting a low-cost levitation architecture, for the implementation of a highly sensitive inertial sensor to measure displacement and acceleration. The system uses a graphite tile suspended over four NdFeB magnets…
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Keywords:
strategy;
inductive readout;
levitation;
inertial sensor ... See more keywords
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Published in 2019 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2899535
Abstract: The calibration of low-cost inertial sensors has become increasingly important over the last couple of decades, especially when dealing with sensor stochastic errors. This procedure is commonly performed on a single error measurement from an…
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Keywords:
wavelet variance;
sensor stochastic;
based framework;
inertial sensor ... See more keywords
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Published in 2020 at "Equine veterinary journal"
DOI: 10.1111/evj.13371
Abstract: BACKGROUND Low-cost sensor devices are often limited in terms of sample rate. Based on signal periodicity, the Nyquist theorem allows determining the minimum theoretical sample rate required to adequately capture cyclical events, such as pelvic…
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Keywords:
sample rate;
rate;
time;
inertial sensor ... See more keywords
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Published in 2022 at "Applied Bionics and Biomechanics"
DOI: 10.1155/2022/5292454
Abstract: In order to track the limb movement trajectory of gymnasts, a method based on MEMS inertial sensor is proposed. The system mainly collects the acceleration and angular velocity data of 11 positions during gymnastics by…
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Keywords:
movement trajectory;
inertial sensor;
sensor;
mems inertial ... See more keywords