AIMC Topic: Motion

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Learning behavior aware features across spaces for improved 3D human motion prediction.

Scientific reports Aug 4, 2025
3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusive...
Humans Machine Learning Imaging, Three-Dimensional Motion Movement Algorithms Biomechanical Phenomena
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A hybrid model for detecting motion artifacts in ballistocardiogram signals.

Biomedical engineering online Jul 23, 2025
BACKGROUND: The field of contactless health monitoring has witnessed significant advancements with the advent of piezoelectric sensing technology, which enables the monitoring of vital signs such as heart rate and respiration without requiring direct...
Humans Deep Learning Ballistocardiography Artifacts Movement Signal Processing, Computer-Assisted Motion
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Bionic Pneumatic-Driven Actuator for Underwater Sensing and Motion Control.

ACS applied materials & interfaces Jul 15, 2025
Biological organisms exhibit remarkable capabilities to dynamically adjust their physiological states through autonomous neural perception and adaptive locomotion, offering profound inspiration for the development of intelligent bionic systems. Parti...
Bionics Water Nanotubes, Carbon Biomimetic Materials Motion Robotics Biomimetics
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Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method.

PloS one Jul 10, 2025
Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. Thi...
Humans Algorithms Computer Simulation Motion Models, Theoretical Robotics
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Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge.

Scientific reports Jul 7, 2025
The selection of the most efficient actuator for biohybrid robots necessitates the implementation of precise and reliable decision-making (DM) methods. Dynamic aggregation operators (AOs) provide flexibility and consistency in DM by embracing time-de...
Motion Movement Humans Algorithms Fuzzy Logic Robotics Computer Simulation
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Study on the structural function and motion performance of pneumatic flexible tree-climbing robot.

PloS one Jun 11, 2025
To enhance the adaptability of tree-climbing robots to changes in tree diameter and load capacity, an "I-shaped" pneumatic flexible tree - climbing robot was designed using self-developed pneumatic flexible joints and retractable needle anchors. The ...
Mountaineering Humans Biomechanical Phenomena Gait Motion Robotics Trees Equipment Design
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Enhancing time synchronization between host and node stations using a fuzzy proportional-integral approach for EtherCAT-based motion control systems.

PloS one Jun 4, 2025
Real-time synchronization for the servo system becomes one of the most popular themes in the Industry 4.0 era. Each connected agent publishes its data and mutual information in the shared protocol while host station plays a role as coordinator among ...
Fuzzy Logic Motion Algorithms Models, Theoretical
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Upper limb human-exoskeleton system motion state classification based on semg: application of CNN-BiLSTM-attention model.

Scientific reports May 30, 2025
This study aims to classify five typical motion states of the human upper limb based on surface electromyography signals, thereby supporting the real-time control system of an assistive upper limb exoskeleton. We propose a deep learning model combini...
Exoskeleton Device Upper Extremity Motion Movement Adult Male Humans Algorithms Deep Learning Female Neural Networks, Computer Muscle, Skeletal Young Adult Electromyography
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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space.

Sensors (Basel, Switzerland) May 17, 2025
BACKGROUND AND OBJECTIVES: Depth perception of the human visual system in three-dimensional (3D) space plays an important role in human-computer interaction and artificial intelligence (AI) areas. It mainly employs binocular disparity and motion para...
Cues Motion Perception Vision, Binocular Vision Disparity Depth Perception Artificial Intelligence Motion Humans
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Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework.

Scientific reports May 3, 2025
The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish ...
Motion Birds Neural Networks, Computer Unmanned Aerial Devices Flight, Animal Deep Learning Animals
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