Results 51 to 60 of about 1,409,257 (215)
Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision [PDF]
IEEE International Conference on Computer VisionEgocentric human body estimation allows for the inference of user body pose and shape from a wearable camera's firstperson perspective. Although pose estimation techniques have been used to overcome self-occlusions and image distortions caused by head ...
Tian-Ma Shen +8 more
semanticscholar +1 more source
Automated Hand Prehension Assessment From Egocentric Video After Spinal Cord Injury
IEEE Transactions on Neural Systems and Rehabilitation EngineeringHand function assessments in a clinical setting are critical for upper limb rehabilitation after spinal cord injury (SCI) but may not accurately reflect performance in an individual’s home environment.
Nicholas Zhao, Jose Zariffa
doaj +1 more source
A Developmental Approach to Machine Learning?
Frontiers in Psychology, 2017 Visual learning depends on both the algorithms and the training material. This essay considers the natural statistics of infant- and toddler-egocentric vision.
Linda B. Smith, Lauren K. Slone
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Counting distance: Effects of egocentric distance on numerical perception. [PDF]
PLoS ONE, 2017 Numerical value is long known to be associated with a variety of magnitude representations, such as size, time and space. The present study focused on the interactive relations of numerical magnitude with a spatial factor which is dominant in everyday ...
Nurit Gronau +3 more
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EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations [PDF]
IEEE International Conference on Robotics and AutomationImitation learning from human demonstrations offers a promising approach for robot skill acquisition, but egocentric human data introduces fundamental challenges due to the embodiment gap.
Justin Yu +5 more
semanticscholar +1 more source
An Active System for Visually-Guided Reaching in 3D across Binocular Fixations
The Scientific World Journal, 2014 Based on the importance of relative disparity between objects for accurate hand-eye coordination, this paper presents a biological approach inspired by the cortical neural architecture.
Ester Martinez-Martin +4 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Identifying Hand Use and Hand Roles After Stroke Using Egocentric Video
IEEE Journal of Translational Engineering in Health and Medicine, 2021 Objective: Upper limb (UL) impairment impacts quality of life, but is common after stroke. UL function evaluated in the clinic may not reflect use in activities of daily living (ADLs) after stroke, and current approaches for assessment at home rely on ...
Meng-Fen Tsai +2 more
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From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation
Advanced Intelligent Systems, EarlyView.Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka +13 more
wiley +1 more source
A Space-Variant Visual Pathway Model for Data Efficient Deep Learning
Frontiers in Cellular Neuroscience, 2019 We present an investigation into adopting a model of the retino-cortical mapping, found in biological visual systems, to improve the efficiency of image analysis using Deep Convolutional Neural Nets (DCNNs) in the context of robot vision and egocentric ...
Piotr Ozimek +3 more
doaj +1 more source