Results 51 to 60 of about 5,849,321 (239)
Artificial tactile systems play a pivotal role in advancing human‐machine interaction technology by enabling precise physical interaction with objects and environments.
Seong‐Min Im +6 more
doaj +1 more source
The right visual field advantage and the optimal viewing position effect: On the relation between foveal and parafoveal word recognition [PDF]
Recent developments on the optimal viewing position (OVP) effect suggest that it may be caused by the same factors that underlie the right visual field advantage in word recognition.
Brysbaert, M., Schroyens, W., Vitu, F.
core +2 more sources
The sensorimotor approach proposes that perception is constituted by the mastery of lawful sensorimotor regularities or sensorimotor contingencies (SMCs), which depend on specific bodily characteristics and on actions possibilities that the environment ...
Fernando eBermejo +8 more
doaj +1 more source
Honeybee Vision: In Good Shape for Shape Recognition [PDF]
Over the past seventy years, the question of how bees learn and recognise objects has generated more controversy than consensus. New research now suggests that bees distinguish between shapes largely on the basis of their outlines.
openaire +3 more sources
Shape recognition using orientational and morphological scale‐spaces of curvatures
In this study, a scale‐invariant representation for closed planar curves (silhouettes) is proposed. The orientations of all points within the Gaussian scale‐space of the curve are extracted.
Erdem Akagündüz
doaj +1 more source
Cancer bioimprinting and cell shape recognition for diagnosis and targeted treatment.
Cancer incidence and mortality have both increased in the last decade and are predicted to continue to rise. Diagnosis and treatment of cancers are often hampered by the inability to specifically target neoplastic cells.
Jevan Medlock +4 more
semanticscholar +1 more source
View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics [PDF]
Human action Recognition for unknown views, is a challenging task. We propose a deep view-invariant human action recognition framework, which is a novel integration of two important action cues: motion and shape temporal dynamics (STD). The motion stream
Chhavi Dhiman, D. Vishwakarma
semanticscholar +1 more source
Shape Pattern Recognition of Building Footprints Using t-SNE Dimensionality Reduction Visualization
The shape pattern recognition of building footprints stands as a pivotal concern within GIS spatial cognition. In this study, we introduce a novel approach for the shape recognition of building footprints, leveraging t-distributed stochastic neighbor ...
Jingzhong Li, Kainan Mao
doaj +1 more source
Computer-Aided Process Planning (CAPP) systems have become essential in manufacturing environments to integrate the information between CAD and CAM systems, and to automatically generate the NC code from the CAD model.
Alejandro DE ARRIBA-MANGAS +2 more
doaj +1 more source
A frequency-selective feedback model of auditory efferent suppression and its implications for the recognition of speech in noise [PDF]
The potential contribution of the peripheral auditory efferent system to our understanding of speech in a background of competing noise was studied using a computer model of the auditory periphery and assessed using an automatic speech recognition system.
Brown, G +3 more
core +1 more source

