The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be ...
Jan 27, 2016 · The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users ...
The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be ...
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Sitting posture recognition can be used to evaluate the awareness of a person carrying out a task, such as working or driving, and can aid in avoiding ...
Jun 25, 2023 · Existing pressure sensor-based systems have been proposed to recognize sitting postures, but their accuracy ranges from 80% to 90%, leaving room ...
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Jul 26, 2022 · They employed an Artificial Neural Network (ANN) model to classify eight sitting postures. The model achieved a classification accuracy of 92.2 ...
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This study aimed to identify correct sitting postures during prolonged periods using a pressure mapping system on the seat along with Convolutional Neural ...
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A smart chair sitting posture recognition system using flex sensors and FPGA implemented artificial neural network. IEEE Sens. J. 2020, 20, 8007–8016 ...
May 5, 2024 · The first study was by Hu et al. [34], who developed a smart sensing chair using six flex sensors and a two-layer Artificial Neural Network (ANN) ...
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Feb 20, 2024 · The most commonly used sensors for postural monitoring are resistive transduction sensors [57], with piezoelectric sensors [58] or capacitive ...