Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3262164
Abstract: Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide important clinical information and can be used to control assistive devices. Traditionally, collection of kinetics is mostly limited to the lab environment because… read more here.
Keywords: walking conditions; moments ground; deep learning; imu sensors ... See more keywords
Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2017.2786587
Abstract: Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is important to find the optimal sensor placement and the parameters that influence the extraction of automatic gait features. We… read more here.
Keywords: location; gait analysis; imu sensors; wearable imu ... See more keywords
Large-Scale, Real-Time 3D Scene Reconstruction Using Visual and IMU Sensors
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.2971521
Abstract: Accurate segmentation of 3D reconstruction using multiple sensors is one of the most important fundamental steps in autopilot and robot navigation. However, in the case of shaking camera feeds, fewer feature and moving objects in… read more here.
Keywords: reconstruction; visual imu; reconstruction using; imu sensors ... See more keywords
CHARM-Deep: Continuous Human Activity Recognition Model Based on Deep Neural Network Using IMU Sensors of Smartwatch
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.2985374
Abstract: In the present paper, an attempt was made to achieve high-performance continuous human activity recognition (CHAR) using deep neural networks. The present study focuses on recognizing different activities in a continuous stream, which means ‘back-to-back’… read more here.
Keywords: human activity; deep neural; continuous human; imu sensors ... See more keywords