AIMC Topic: Motion

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Normalization of photoplethysmography using deep neural networks for individual and group comparison.

Scientific reports
Photoplethysmography (PPG) is easy to measure and provides important parameters related to heart rate and arrhythmia. However, automated PPG methods have not been developed because of their susceptibility to motion artifacts and differences in wavefo...

Modified Artificial Potential Field for the Path Planning of Aircraft Swarms in Three-Dimensional Environments.

Sensors (Basel, Switzerland)
Path planning techniques are of major importance for the motion of autonomous systems. In addition, the chosen path, safety, and computational burden are essential for ensuring the successful application of such strategies in the presence of obstacle...

Real-Time Stylized Humanoid Behavior Control through Interaction and Synchronization.

Sensors (Basel, Switzerland)
Restricted by the diversity and complexity of human behaviors, simulating a character to achieve human-level perception and motion control is still an active as well as a challenging area. We present a style-based teleoperation framework with the hel...

Research on Robot Fuzzy Neural Network Motion System Based on Artificial Intelligence.

Computational intelligence and neuroscience
An intelligent controller based on a self-learning interval type-II fuzzy neural network is proposed to make the motion controller of the industrial intelligent robot with good adaptability. This controller has a parallel structure and contains an in...

Singular Configuration Analysis and Singularity Avoidance with Application in an Intelligent Robotic Manipulator.

Sensors (Basel, Switzerland)
Recently, robotic sensor systems have gained more attention annually in complex system sense strategies. The robotic sensors sense the information from itself and the environment, and fuse information for the use of perception, decision, planning, an...

Anomalous Gait Feature Classification From 3-D Motion Capture Data.

IEEE journal of biomedical and health informatics
The gait kinematics of an individual is affected by various factors, including age, anthropometry, gender, and disease. Detecting anomalous gait features aids in the diagnosis and treatment of gait-related diseases. The objective of this study was to...

Implementation of Sequence-Based Classification Methods for Motion Assessment and Recognition in a Traditional Chinese Sport (Baduanjin).

International journal of environmental research and public health
This study aimed to assess the motion accuracy of Baduanjin and recognise the motions of Baduanjin based on sequence-based methods. Motion data of Baduanjin were measured by the inertial sensor measurement system (IMU). Fifty-four participants were r...

Discontinuous Track Recognition System Based on PolyLaneNet for Darwin-op2 Robot.

Computational intelligence and neuroscience
This paper proposes and demonstrates a single-line discontinuous track recognition system by associating the track recognition problem of a humanoid robot with the lane detection problem. The proposal enables the robot to achieve stable running on th...

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.

Sensors (Basel, Switzerland)
Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical findings on early diagnosis of NDD and prompted by recent advances in hardware and software technolo...

Data Loss Reconstruction Method for a Bridge Weigh-in-Motion System Using Generative Adversarial Networks.

Sensors (Basel, Switzerland)
In the application of a bridge weigh-in-motion (WIM) system, the collected data may be temporarily or permanently lost due to sensor failure or system transmission failure. The high data loss rate weakens the distribution characteristics of the colle...