Results 201 to 210 of about 67,533 (254)
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Deep learning analysis based on multi-sensor fusion data for hemiplegia rehabilitation training system for stoke patients

Robotica (Cambridge. Print), 2021
By recognizing the motion of the healthy side, the lower limb exoskeleton robot can provide therapy to the affected side of stroke patients. To improve the accuracy of motion intention recognition based on sensor data, the research based on deep learning
Peng Zhang, Junxia Zhang
semanticscholar   +1 more source

Multi-sensor track fusion algorithm research and simulation analysis

2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT), 2022
Target tracking is extremely important in the military field. In multi-sensor data fusion processing, track fusion techniques are required to make the target position information more accurate and reliable.
Shouqing Chen   +3 more
semanticscholar   +1 more source

F-Net: Fusion Neural Network for Vehicle Trajectory Prediction in Autonomous Driving

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
Recent research has been remarkable in recurrent neural networks (RNNs) on sequence-to-sequence problems for image caption, and promising in convolutional neural networks (CNNs) on spatial analysis problems for image detection and sematic segmentation ...
Jue Wang   +4 more
semanticscholar   +1 more source

Model-Free Sensor Fusion for Redundant Measurements Using Sliding Window Variance

International Conference on Control, Automation and Systems, 2022
In this paper, a model-free data fusion method for combining redundant sensor data is presented. The objective is to maintain a reliable tool center point pose measurement of a long-reach robotic manipulator using a visual sensor system with multiple ...
P. Mäkinen   +3 more
semanticscholar   +1 more source

Spatiotemporal and Kinetic Gait Analysis System Based on Multisensor Fusion of Laser Range Sensor and Instrumented Insoles

IEEE International Conference on Robotics and Automation, 2019
Tracking of human legs during walking are key technologies for gait analysis evaluating the movement function of the elderly and patients with gait disorders.
R. Eguchi   +2 more
semanticscholar   +1 more source

Limb Trajectory Perception in Calisthenics Training: A Multi-Sensor Fusion and Spatial Behavior Analysis Framework

Architecture Image Studies
Calisthenics training, with its structured and rhythmic movement patterns, represents a form of orchestrated spatial behavior within a defined environment.
Zhifang Xiao, Wentao Guo
semanticscholar   +1 more source

AI-enabled Coal Supply Chain Financial Credit Assessment and Loan Optimization Based on Multi-source Data Fusion

Proceedings of the 2025 2nd International Conference on Digital Economy, Blockchain and Artificial Intelligence
In response to the problem of incomplete credit assessment caused by multi-source data silos in the current coal supply chain finance field, this study proposes an AI-enabled credit assessment and loan optimization system under multi-source data fusion ...
Xianao Shi
semanticscholar   +1 more source

Pose Estimation Algorithm for Quadruped Robots Based on Multi-Sensor Fusion

2024 International Symposium on Intelligent Robotics and Systems (ISoIRS)
Aiming to address the problem of a low pose estimation accuracy of quadruped robots in complex terrains and during high-speed movements, this paper proposes a pose estimation algorithm that integrates binocular cameras, joint encoders, and inertial ...
Changming Pan   +3 more
semanticscholar   +1 more source

A Review of Visual SLAM Systems Based on Multi-Sensor Fusion

2024 9th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
In the realm of autonomous systems, the precision and robustness of Simultaneous Localization and Mapping (SLAM) are significantly bolstered through the integration of diverse sensor modalities.
Yunxiang Liu, Yi Tan
semanticscholar   +1 more source

Analyzing Show Jumping Horses by IMU- and GNSS-Sensor Fusion

International Symposium on Algorithms
Accurate kinematic data is crucial for sports performance analysis, yet many sports lack reliable systems for concurrent accuracy, reliability, and validity measurements.
C. Fercher   +3 more
semanticscholar   +1 more source

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