Results 111 to 120 of about 8,410,900 (380)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Contextual Action Cues from Camera Sensor for Multi-Stream Action Recognition
Sensors, 2019 In action recognition research, two primary types of information are appearance and motion information that is learned from RGB images through visual sensors. However, depending on the action characteristics, contextual information, such as the existence
Jongkwang Hong +3 more
doaj +1 more source
RGB-D Data-Based Action Recognition: A Review
Sensors, 2021 Classification of human actions is an ongoing research problem in computer vision. This review is aimed to scope current literature on data fusion and action recognition techniques and to identify gaps and future research direction.
Muhammad Bilal Shaikh, Douglas Chai
doaj +1 more source
3D trajectories for action recognition [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Recent development in affordable depth sensors opens new possibilities in action recognition problem. Depth information improves skeleton detection, therefore many authors focused on analyzing pose for action recognition. But still skeleton detection is not robust and fail in more challenging scenarios, where sensor is placed outside of optimal working
Koperski, Michal +2 more
openaire +2 more sources
A Review of Human Activity Recognition Methods
Frontiers in Robotics and AI, 2015 Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas +2 more
doaj +1 more source
, 2016 We present a comparative evaluation of various techniques for action recognition while keeping as many variables as possible controlled. We employ two categories of Riemannian manifolds: symmetric positive definite matrices and linear subspaces. For both
CM Bishop +19 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
Factorized 3D-CNN for Real-Time Fall Detection and Action Recognition on Embedded System
IEEE AccessWe present a novel approach for skeleton-based action recognition and fall detection, optimized for real-time performance on embedded devices. Our method employs a factorized 3D convolutional neural network (3D-CNN) to efficiently extract spatiotemporal ...
Nadhira Noor, In Kyu Park
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Action Recognition in a Crowded Environment
i-Perception, 2017 So far, action recognition has been mainly examined with small point-light human stimuli presented alone within a narrow central area of the observer’s visual field.
Laura Fademrecht +4 more
doaj +1 more source