picture recognition
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2021 ◽  
pp. 45-47
Author(s):  
Merin Chandanathil ◽  
Kunal Kunal ◽  
Kishan Kadur

Background and objectives: To investigate if integrated yoga practice affect the Visuo-spatial Cognition of Specially Abled Children. Material and method: Eighty clinically diagnosed mentally challenged persons aged between 12 - 25 years were randomly allotted to control and study groups. Study group practiced Pranayama (Nadishodhan and Kapalbhati),Aum chanting and Meditation for 30 minutes daily, 6 days in a week for 3 weeks.Control group carried on with their normal school routine.Visual Processing was studied for a) Visual- Spatial Relation b) Picture Recognition and c) Planning.The parameters were measured twice,once before the starting of the intervention and later at the end of follow-up period. Results: Both the groups were comparable in their baseline scores.At follow-up,scores of the visual- spatial relation and picture recognition showed significant improvements in both the groups,but,the change in the scores of planning was significant only in study group. However,the improvement in all three categories were significantly higher in the study group as compared to the control group. Interpretation and Conclusion: This study demonstrates the beneficial influences of pranayama and meditation on Visual Processing, suggests that pranayama and meditation improves the performance of prefrontal lobe and other cortical and subcortical areas and their neuronal connection involved in this process. It may further contribute in improvement of overall intelligence of mentally retarded persons.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012009
Author(s):  
Shuqiang Du

Abstract The selection and extraction of image recognition by artificial means needs more complicated work, which is not conducive to the recognition and extraction of important features. Deep learning and neural network represent the iterative expansion of computer intelligent tech, and bring significant results to image recognition. Based on this, this paper first gives the concept and model of neural network, then studies the utilization of deep learning neural network in image recognition, and finally analyses the picture recognition system on account of in-depth learning neural network.


2021 ◽  
pp. 193-210
Author(s):  
Dennis F. Fisher ◽  
Robert Karsh ◽  
Francis Breitenbach ◽  
B. Diane Barnette

2021 ◽  
Vol 3 ◽  
Author(s):  
Svenja Schwarck ◽  
Nancy Busse ◽  
Gabriel Ziegler ◽  
Wenzel Glanz ◽  
Andreas Becke ◽  
...  

Heart rate variability (HRV) rapidly gains attention as an important marker of cardiovascular autonomic modulation. Moreover, there is evidence for a link between the autonomic deficit measurable by reduced HRV and the hypoactivity of the cholinergic system, which is prominently affected in Alzheimer's disease (AD). Despite the positive influence of physical exercise on cognition and its promising association with HRV, previous studies did not explore the effect of long-term physical exercise in older adults with AD. Taking advantage of a longitudinal study we analyzed the effect of a 20-week dual task training regime (3 × 15-min per week) on the vagal mediated HRV index RMSSD (root mean square of successive RR interval differences) during physical exercise and the short-term memory performance in a AD cohort (N = 14). Each training contained physical exercise on a bicycle ergometer while memorizing 30 successively presented pictures as well as the associated post-exercise picture recognition memory test. Linear-mixed modeling revealed that HRV-RMSSD significantly increased over the intervention time. Moreover, the reaction time in the picture recognition task decreased while the accuracy remained stable. Furthermore, a significantly negative relationship between increased fitness measured by HRV-RMSSD and decreased reaction time was observed. This feasibility study points to the positive effects of a dual task regime on physical and cognitive fitness in a sample with impaired cognitive performance. Beyond this, the results show that the responsiveness of parasympathetic system as measured with HRV can be improved in patients with dementia.


2021 ◽  
Vol 177 ◽  
pp. 107353
Author(s):  
Risto Halonen ◽  
Liisa Kuula ◽  
Jari Lahti ◽  
Katri Räikkönen ◽  
Anu-Katriina Pesonen
Keyword(s):  

2021 ◽  
Vol 237 ◽  
pp. 04002
Author(s):  
Lin Lu ◽  
Peijia Jiang ◽  
Xu Zhang ◽  
Yu Zhao

This paper uses the methods of picture recognition, sketch map and questionnaire to understand the citizens’ evaluation of Luzhou’s urban environment, obtain the overall city image and influencing factors to explore the spatial composition and city characteristics of Luzhou.Based on the analysis of the deficiencies in the process of urban development, this paper puts forward some appropriate suggestions to construct a good city image of luzhou city space.


SLEEP ◽  
2020 ◽  
Author(s):  
Eva-Maria Kurz ◽  
Annette Conzelmann ◽  
Gottfried Maria Barth ◽  
Tobias J Renner ◽  
Katharina Zinke ◽  
...  

Abstract Sleep is assumed to support memory through an active systems consolidation process that does not only strengthen newly encoded representations but also facilitates the formation of more abstract gist memories. Studies in humans and rodents indicate a key role of the precise temporal coupling of sleep slow oscillations (SO) and spindles in this process. The present study aimed at bolstering these findings in typically developing (TD) children, and at dissecting particularities in SO-spindle coupling underlying signs of enhanced gist memory formation during sleep found in a foregoing study in children with autism spectrum disorder (ASD) without intellectual impairment. Sleep data from 19 boys with ASD and 20 TD boys (9-12 years) were analyzed. Children performed a picture-recognition task and the Deese-Roediger-McDermott (DRM) task before nocturnal sleep (encoding) and in the next morning (retrieval). Sleep-dependent benefits for visual-recognition memory were comparable between groups but were greater for gist abstraction (recall of DRM critical lure words) in ASD than TD children. Both groups showed a closely comparable SO-spindle coupling, with fast spindle activity nesting in SO-upstates, suggesting that a key mechanism of memory processing during sleep is fully functioning already at childhood. Picture-recognition at retrieval after sleep was positively correlated to frontocortical SO-fast-spindle coupling in TD children, and less in ASD children. Critical lure recall did not correlate with SO-spindle coupling in TD children but showed a negative correlation (r=-.64, p=.003) with parietal SO-fast-spindle coupling in ASD children, suggesting other mechanisms specifically conveying gist abstraction, that may even compete with SO-spindle coupling.


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