Sep 21, 2023 · Deep learning (DL)-based models have been successfully applied to the raw data captured through inertial measurement unit (IMU) sensors to ...
Sep 23, 2023 · Deep learning (DL)‐based models have been successfully applied to the raw data captured through inertial measurement unit (IMU) sensors to ...
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Wearable inertial measurement unit (IMU) sensors, composed of accelerometers and gyroscopes, have undergone rapid development, simplifying the process of.
Deep learning (DL)‐based models have been successfully applied to the raw data captured through inertial measurement unit (IMU) sensors to recognize multiple ...
Contrarily, Inertial Measurement Unit (IMU) and pressure sensors are used to record the time series sensory data of human movement for activity analysis.
Both inertial sensors and embedded systems, along with the wearable devices, are being used for the recognition of various daily and sports activities.
In this paper, the development of an accurate and reliable HAR classifier using sensor fusion methods is investigated. Three Inertial Measurement Units ...
A CNN-based Method for Human Activity Recognition Using Inertial Measurement Units ... OPTIMIZING PHYSICAL ACTIVITY ... A generic deep framework for activity ...
An extensive comparison of the hybrid CNN-GRU model with state-ofthe-art deep learning models such as Inception Time and DeepConvLSTM created using AutoML to ...
Jan 21, 2023 · In this work, we propose a deep-learning approach for Human Activity Recognition (HAR) and payload estimation based on inertial sensors. We ...