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MEMS Inertial Sensor Calibration Technology: Current Status and Future Trends
Micromachines, 2022 A review of various calibration techniques of MEMS inertial sensors is presented in this paper. MEMS inertial sensors are subject to various sources of error, so it is essential to correct these errors through calibration techniques to improve the ...
Xu Ru, Nian Gu, Hang Shang, Heng Zhang
doaj +4 more sources
Inertial Sensor Technologies—Their Role in Equine Gait Analysis, a Review [PDF]
Sensors (Basel), 2023 Objective gait analysis provides valuable information about the locomotion characteristics of sound and lame horses. Due to their high accuracy and sensitivity, inertial measurement units (IMUs) have gained popularity over objective measurement ...
C. Crecan, C. Peștean
semanticscholar +2 more sources
Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review
Sensors, 2020 The use of inertial measurement units (IMUs) has gained popularity for the estimation of lower limb kinematics. However, implementations in clinical practice are still lacking. The aim of this review is twofold—to evaluate the methodological requirements
Ive Weygers +2 more
exaly +2 more sources
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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Foot Pose Estimation Using an Inertial Sensor Unit and Two Distance Sensors
Sensors, 2015 There are many inertial sensor-based foot pose estimation algorithms. In this paper, we present a methodology to improve the accuracy of foot pose estimation using two low-cost distance sensors (VL6180) in addition to an inertial sensor unit.
Pham Duy Duong, Young Soo Suh
doaj +3 more sources
Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation
Sensors, 2018 Capturing hand motions for hand function evaluations is essential in the medical field. Various data gloves have been developed for rehabilitation and manual dexterity assessments. This study proposed a modular data glove with 9-axis inertial measurement
Bor-Shing Lin +2 more
exaly +2 more sources
Inertial Sensor Data to Image Encoding for Human Action Recognition [PDF]
IEEE Sensors Journal, 2021 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, we use four types of spatial
Zeeshan Ahmad, N. Khan
semanticscholar +1 more source
Data Augmentation for Inertial Sensor Data in CNNs for Cattle Behavior Classification
IEEE Sensors Letters, 2021 Cattle behavior monitoring is critical for understanding cattle welfare and health status. One of the most powerful and cost-effective monitoring methods is a neural network-based monitoring system that analyzes time series data from inertial sensors ...
Chao Li +6 more
semanticscholar +1 more source
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator [PDF]
IEEE Transactions on robotics, 2017 One camera and one low-cost inertial measurement unit (IMU) form a monocular visual-inertial system (VINS), which is the minimum sensor suite (in size, weight, and power) for the metric six degrees-of-freedom (DOF) state estimation.
Tong Qin, Peiliang Li, S. Shen
semanticscholar +1 more source
Italian National Conference on Sensors, 2021 Compared to laboratory equipment inertial sensors are inexpensive and portable, permitting the measurement of postural sway and balance to be conducted in any setting.
Nicky Baker, C. Gough, Susan J. Gordon
semanticscholar +1 more source