Results 251 to 260 of about 916,158 (354)

Exploring the Effects of 3D Gaze Stimulation and Color Performance in Augmented Reality‐Based Steady‐State Visual Evoked Potential

open access: yesAdvanced Intelligent Systems, EarlyView.
This study investigates how gaze mode and stimulus brightness affect augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) brain‐computer interface (BCI) performance. Experiments with 20 participants show that binocular gaze improves recognition accuracy and stimulus luminance impacts performance.
Yiting Geng   +6 more
wiley   +1 more source

Quantifying Printing Quality for Printed Electrodes via Deep Learning and Spatial Association: Empowering Process Optimization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim   +6 more
wiley   +1 more source

An Ultrathin and Lightweight Soft Inflatable Actuator for Natural Tactile Sensory Feedback

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight, ultrathin soft actuator mimics natural touch by delivering strong, multimodal haptic feedback through pressure and vibration. Tested on both able‐bodied individuals and amputees, it achieves high sensory precision in a compact form. Its simplicity, power, and adaptability hint at transformative applications in prosthetics, immersive ...
Hanna Scherer   +7 more
wiley   +1 more source

Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer   +6 more
wiley   +1 more source

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study. [PDF]

open access: yesJMIR Form Res
Almanna MA   +7 more
europepmc   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

Topology Optimization of Exo‐Glove Poly II for Enhancing Functionality and Wearability

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a topology optimization method for Exo‐Glove Poly II to enhance functionality and wearability. By modeling its finger body as a longitudinally periodic structure, a unit cell‐level optimization—aimed at minimizing distortion and achieving user‐preferred stretchability—is established. Experimental validation shows reduced distortion,
Soomin Choi   +4 more
wiley   +1 more source

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