Results 61 to 70 of about 11,197 (235)

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Facial Keypoints Detection

CoRR, 2017
Detect facial keypoints is a critical element in face recognition. However, there is difficulty to catch keypoints on the face due to complex influences from original images, and there is no guidance to suitable algorithms. In this paper, we study different algorithms that can be applied to locate keyponits.
openaire   +3 more sources

Crease‐Encoded Soft Origami Chambers: A Unified Design‐to‐Fabrication Framework for Low‐Pressure Pneumatic Joints

Advanced Intelligent Systems, EarlyView.
Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall, Mattia Franchi de’ Cavalieri, Gastone Ciuti, Arianna Menciassi, Matteo Cianchetti   +4 more
wiley   +1 more source

A Deep Learning-Based Hyperspectral Keypoint Representation Method and Its Application for 3D Reconstruction

IEEE Access, 2022
In previous studies, the keypoints and their feature descriptors of a hyperspectral image have not received enough attention. Compared with RGB images, the rich feature information of a hyperspectral image can not only constrain the spatial positions of ...
Tengfei Ma, Yuxin Xing, Dawei Gong, Zijian Lin, Yuanpeng Li, Jiong Jiang, Sailing He   +6 more
doaj   +1 more source

A mouse model of mechanical stress injury to the basal ganglia using thermosensitive PNIPAM hydrogel for intracerebral hemorrhage research

Animal Models and Experimental Medicine, EarlyView.
In this study, we established a novel mouse model of intracerebral hemorrhage (ICH) by stereotactically injecting thermosensitive PNIPAM hydrogel into the internal capsule to impose localized mechanical stress on the corticospinal tract, which provides a straightforward and reproducible tool for preclinical studies on focal mechanical stress–induced ...
Mingxi Li, Yujie Chen, Rongsu Huang, Min Xia, Chao Mi, Yuan Tian, Peiwen Guo, Taotao Jin, Shilei Hao, Hua Feng, Yujie Chen, Zhi Chen   +11 more
wiley   +1 more source

Intelligent Deep Learning and Keypoint Tracking-Based Detection of Lameness in Dairy Cows

Veterinary Sciences
With the ongoing development of computer vision technologies, the automation of lameness detection in dairy cows urgently requires improvement. To address the challenges of detection difficulties and technological limitations, this paper proposes an ...
Zongwei Jia, Yingjie Zhao, Xuanyu Mu, Dongjie Liu, Zhen Wang, Jiangtan Yao, Xuhui Yang   +6 more
doaj   +1 more source

Validation of a handheld smartphone markerless method for quantifying thoracolumbar flexion–extension range of motion in horses at trot

Equine Veterinary Journal, EarlyView.
Abstract Background Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion‐extension range of motion (FEROM) is not reliably evaluated by subjective observation alone. A handheld, smartphone‐based markerless computer vision system (RealHorse®; RH) may enable objective clinical and field‐based FEROM ...
Maria Rosendahl Christensen, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen, Karsten Key   +5 more
wiley   +1 more source

Enhancing Motoric Impulsivity Detection in Children through Deep Learning and Body Keypoint Recognition

JOIV: International Journal on Informatics Visualization
Quantifying motoric impulsivity in pediatric settings is crucial for safeguarding children and for devising effective intervention strategies. Existing quantitative techniques, such as accelerometry, have been utilized to assess it, but they often prove ...
Fahmy F. Dalimarta, Pulung N. Andono, Moch. A. Soeleman, Zainal A. Hasibuan   +3 more
doaj   +1 more source

Boosting Binary Keypoint Descriptors [PDF]

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Binary key point descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we call Bin Boost that is very robust to illumination and viewpoint changes.
Tomasz Trzcinski, C. Mario Christoudias, Pascal Fua, Vincent Lepetit   +3 more
openaire   +1 more source

Bio‐inspired vision: From principle, material architectures to system‐level integration

FlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin, Miaoyi Xu, Xianda Ma, Weifeng Yang, Yuanlong Shao   +4 more
wiley   +1 more source