AI Medical Compendium Topic:
Motion

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Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.

IEEE transactions on cybernetics
In this paper, the motion dynamics of a large tanker is modeled by the generalized ellipsoidal function-based fuzzy neural network (GEBF-FNN). The reference model of tanker motion dynamics in the form of nonlinear difference equations is established ...

Sensing and Force-Feedback Exoskeleton (SAFE) Robotic Glove.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper presents the design, implementation and experimental validation of a novel robotic haptic exoskeleton device to measure the user's hand motion and assist hand motion while remaining portable and lightweight. The device consists of a five-f...

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network.

IEEE transactions on neural networks and learning systems
This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event representation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different p...

A dynamic human motion: coordination analysis.

Biological cybernetics
This article is concerned with the generic structure of the motion coordination system resulting from the application of the method of virtual holonomic constraints (VHCs) to the problem of the generation and robust execution of a dynamic humanlike m...

Robust sensorimotor representation to physical interaction changes in humanoid motion learning.

IEEE transactions on neural networks and learning systems
This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply th...

Time-frequency modulation of ERD and EEG coherence in robot-assisted hand performance.

Brain topography
A better understanding of cortical modifications related to movement preparation and execution after robot-assisted training could aid in refining rehabilitation therapy protocols for stroke patients. Electroencephalography (EEG) modifications of cor...

Controlling motion prediction errors in radiotherapy with relevance vector machines.

International journal of computer assisted radiology and surgery
PURPOSE: Robotic radiotherapy can precisely ablate moving tumors when time latencies have been compensated. Recently, relevance vector machines (RVM), a probabilistic regression technique, outperformed six other prediction algorithms for respiratory ...

Estimation of optimal pivot point for remote center of motion alignment in surgery.

International journal of computer assisted radiology and surgery
PURPOSE: The determination of an optimal pivot point ([Formula: see text]) is important for instrument manipulation in minimally invasive surgery. Such knowledge is of particular importance for robotic-assisted surgery where robots need to rotate pre...

Research on acupuncture robots based on the OptiTrack motion capture system and a robotic arm.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
OBJECTIVE: To propose an automatic acupuncture robot system for performing acupuncture operations.

Real-time Classification of Diverse Reaching Motions Using RMS and Discrete Wavelet Transform Energy Values from EMG Signals for Human Assistive Robots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
With advancing technology, human assistive robots have been developed to enhance daily efficiency for users. Focusing on the reaching motions of the upper limb, this study aims to propose a motion classification method based on electromyographic (EMG...