Results 51 to 60 of about 35,749 (253)

Going Deeper into First-Person Activity Recognition

open access: yes, 2016
We bring together ideas from recent work on feature design for egocentric action recognition under one framework by exploring the use of deep convolutional neural networks (CNN).
Fan, Haoqi   +2 more
core   +1 more source

Human-centric light sensing and estimation from RGBD images: the invisible light switch [PDF]

open access: yes, 2019
Lighting design in indoor environments is of primary importance for at least two reasons: 1) people should perceive an adequate light; 2) an effective lighting design means consistent energy saving.
Bue, A. D.   +4 more
core   +1 more source

Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring

open access: yesAdvanced Science, EarlyView.
This article introduces a wrinkle‐adaptive, kirigami‐structured wearable EEG patch that personalizes electrode‐skin conformity to stabilize the interface and enable wireless, high‐quality sleep monitoring. ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings ...
Jungmin Kim   +5 more
wiley   +1 more source

EyePACT: eye-based parallax correction on touch-enabled interactive displays [PDF]

open access: yes, 2017
The parallax effect describes the displacement between the perceived and detected touch locations on a touch-enabled surface. Parallax is a key usability challenge for interactive displays, particularly for those that require thick layers of glass ...
Alt, Florian   +4 more
core   +1 more source

All‐Solution‐Processed Perovskite Light‐Emitting Transistors Enabled by a Fully Organic Architecture

open access: yesAdvanced Electronic Materials, EarlyView.
Fully solution‐processed light‐emitting transistors based on CsPbBr3 perovskite nanocrystals (Pe‐LETs) are demonstrated using an all‐organic platform. By optimizing film formation and device integration, the Pe‐LETs achieve bright green emission with excellent color purity and a peak external quantum efficiency of 4.17 × 10−3 %, marking a step forward ...
Kelment Zahoaliaj   +8 more
wiley   +1 more source

Spatio-Temporal Saliency Networks for Dynamic Saliency Prediction

open access: yes, 2017
Computational saliency models for still images have gained significant popularity in recent years. Saliency prediction from videos, on the other hand, has received relatively little interest from the community.
Bak, Cagdas   +3 more
core   +1 more source

Free-Head Appearance-Based Eye Gaze Estimation on Mobile Devices [PDF]

open access: yes2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2019
Eye gaze tracking plays an important role in human-computer interaction applications. In recent years, many research have been performed to explore gaze estimation methods to handle free-head movement, most of which focused on gaze direction estimation. Gaze point estimation on the screen is another important application.
Liu, Jigang   +2 more
openaire   +2 more sources

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

open access: yesAdvanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li   +11 more
wiley   +1 more source

Adaptive Gaze Estimation With Extended Memorization

open access: yesIEEE Access
Appearance-based gaze estimation still lacks generalizability due to anatomical and appe- arance differences at the human level. Their performance deteriorates significantly during cross-person evaluation and even more during cross-dataset evaluation ...
Jan Glinko
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

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