Results 111 to 120 of about 4,458,250 (263)

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Utilizing Kernel Density Estimation and Butterfly Diagram to Characterize the Gait Variability in the Fallers: A Cross‐Sectional Study

open access: yesHealth Science Reports
Background and Aims The butterfly diagram is an effective tool for visualizing gait patterns and identifying potential areas of instability in the elderly individuals who fall.
Somayeh Mehrlatifan   +2 more
doaj   +1 more source

State-of-charge estimation of lithium-ion batteries using kernel particle filtering with mean-shift and AEKF-based state-of-health assessment

open access: yesResults in Engineering
Accurate state-of-charge (SOC) estimation under dynamic operating conditions and reliable state-of-health (SOH) assessment during battery aging are critical challenges for battery management systems (BMS).
Sai Laung Kham, Nattapol Aunsri
doaj   +1 more source

Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications

open access: yesAdvanced Robotics Research, EarlyView.
A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali   +6 more
wiley   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Home range estimates (ha; 95% kernel density estimation [KDE], 90% KDE, 50% KDE) for free-ranging domestic cats in Mount Berry, Georgia, USA across seasons.

open access: yes, 2015
Home range estimates (ha; 95% kernel density estimation [KDE], 90% KDE, 50% KDE) for free-ranging domestic cats in Mount Berry, Georgia, USA across seasons.
Susanna E. Kitts-Morgan (726950)   +4 more
core   +1 more source

Detecting Anomalies in Radon and Thoron Time Series Data Using Kernel and Wavelet Density Estimation Methods

open access: yesGeosciences
Long-term monitoring of radon (222Rn) and thoron (220Rn) radioactive gases has been used in earthquake forecasting. Seismic activity before earthquakes raises the levels of these gases, causing abnormalities in the baseline values of radon and thoron ...
Muhammad Rafique   +15 more
doaj   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

A Flexible Method for Estimating Luminosity Functions via Kernel Density Estimation. III. Extending to Multiple Flux-limited Samples

open access: yesThe Astrophysical Journal
As the third paper in a series regarding the estimation of luminosity functions (LFs) via kernel density estimation (KDE), we present a further generalization of our framework by extending its applicability to multiple flux-limited samples.
Zunli Yuan   +4 more
doaj   +1 more source

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