AI Medical Compendium Journal:
IEEE transactions on cybernetics

Showing 51 to 60 of 541 articles

NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework.

IEEE transactions on cybernetics
Brain-computer interfaces (BCIs) have been widely employed to identify and estimate a user's intention to trigger a robotic device by decoding motor imagery (MI) from an electroencephalogram (EEG). However, developing a BCI system driven by MI relate...

Deep Temporal Model-Based Identity-Aware Hand Detection for Space Human-Robot Interaction.

IEEE transactions on cybernetics
Hand detection is a crucial technology for space human-robot interaction (SHRI), and the awareness of hand identities is particularly critical. However, most advanced works have three limitations: 1) the low detection accuracy of small-size objects; ...

Anthropomorphic Reaching Movement Generating Method for Human-Like Upper Limb Robot.

IEEE transactions on cybernetics
How to generate anthropomorphic reaching movement remains a challenging problem in service robots and human motor function repair/reconstruction equipment. However, there is no universally accepted computational model in the literature for reproducin...

Distributed Pursuit of an Evader With Collision and Obstacle Avoidance.

IEEE transactions on cybernetics
The distributed, real-time algorithms for multiple pursuers cooperating to capture an evader are developed in an obstacle-free and an obstacle-cluttered environment, respectively. The developed algorithm is based on the idea of planning the control a...

Adaptive Deformation Control of a Flexible Variable-Length Rotary Crane Arm With Asymmetric Input-Output Constraints.

IEEE transactions on cybernetics
This article constructs two adaptive control laws to achieve deformation reduction and attitude tracking for a rotary variable-length crane arm with system parameter uncertainties and asymmetric input-output constraints. Two auxiliary systems are giv...

Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation.

IEEE transactions on cybernetics
Human-robot co-transportation allows for a human and a robot to perform an object transportation task cooperatively on a shared environment. This range of applications raises a great number of theoretical and practical challenges arising mainly from ...

A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition.

IEEE transactions on cybernetics
Abstract-domain adaptation action recognition is a hot research topic in machine learning and some effective approaches have been proposed. However, samples in the target domain with label information are often required by these approaches. Moreover,...

Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis.

IEEE transactions on cybernetics
Skin lesion diagnosis is a key step for skin cancer screening, which requires high accuracy and interpretability. Though many computer-aided methods, especially deep learning methods, have made remarkable achievements in skin lesion diagnosis, their ...

Deep Semisupervised Multiview Learning With Increasing Views.

IEEE transactions on cybernetics
In this article, we study two challenging problems in semisupervised cross-view learning. On the one hand, most existing methods assume that the samples in all views have a pairwise relationship, that is, it is necessary to capture or establish the c...

Appropriate Learning Rates of Adaptive Learning Rate Optimization Algorithms for Training Deep Neural Networks.

IEEE transactions on cybernetics
This article deals with nonconvex stochastic optimization problems in deep learning. Appropriate learning rates, based on theory, for adaptive-learning-rate optimization algorithms (e.g., Adam and AMSGrad) to approximate the stationary points of such...