vision experiment
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2021 ◽  
Author(s):  
Y. Kawashima ◽  
Y. Ohno

The purpose of this study is to quantify the Hunt Effect in a range from indoor lighting levels to outdoor daylight levels so that a perception model of Hunt Effect for lighting can be developed with outdoor daylight as the reference. Our previous study experimentally quantified the perceived chroma changes due to the Hunt Effect at 100 lx and 1000 lx. To extend this to light levels closer to outdoor daylight, a vision experiment was conducted at ≈1000 lx and ≈6000 lx for red, green, yellow, and blue patches. A reference patch on one side of a double booth at 1000 lx was compared to a set of 20 test patches on the other side of the booth at ≈6000 lx using haploscopic view condition. Results showed that the perceived chroma changes are much smaller and insignificant compared to the results between 100 lx and 1000 lx found in our previous study.


2019 ◽  
Author(s):  
Sonia Ponzo ◽  
Louise P. Kirsch ◽  
Aikaterini Fotopoulou ◽  
Paul M. Jenkinson

AbstractBackgroundThe vestibular system has been shown to contribute to multisensory integration by balancing conflictual sensory information. It remains unclear whether such modulation of exteroceptive (e.g. vision), proprioceptive and interoceptive (e.g. affective touch) sensory sources is influenced by epistemically different aspects of tactile stimulation (i.e. felt from within vs seen, vicarious touch).ObjectiveWe aimed to i) replicate previous findings regarding the effects of galvanic stimulation of the right vestibular network (i.e. LGVS) in multisensory integration and ii) examine vestibular contributions to multisensory integration when touch is felt but not seen (and vice-versa).MethodDuring artificial vestibular stimulation (LGVS, RGVS and Sham), healthy participants (N=36, Experiment 1; N=37, Experiment 2) looked at a rubber hand while either their own unseen hand or the rubber hand were touched by affective or neutral touch.ResultsWe found that i) LGVS led to enhancement of vision over proprioception during visual only conditions (replicating our previous findings), and ii) LGVS (vs Sham) favoured proprioception over vision when touch was felt (Experiment 1), with the opposite results when touch was vicariously perceived via vision (Experiment 2), and with no difference between affective and neutral touch.ConclusionsWe showed how vestibular signals modulate the weight of each sensory modality according to the context in which they are perceived and that such modulation extends to different aspects of tactile stimulation: felt and seen touch are differentially balanced in multisensory integration according to their epistemic relevance.HighlightsLGVS increased proprioceptive drift during vision of a rubber handTouch on participant’s hand decreased proprioceptive drift during LGVSVicarious touch on the Rubber Hand increased proprioceptive drift during LGVSVestibular signals differently balance sensory sources in multisensory integration


2018 ◽  
Author(s):  
Kevin Leander Kamermans ◽  
Wim T. J. L. Pouw ◽  
Luisa Fassi ◽  
Asimina Aslanidou ◽  
Fred Paas ◽  
...  

In the current confirmatory study, we conducted two experiments that examined the role of gesture in reinterpreting a mental image. In the first experiment, we observed that participants gestured more about figures they had learned through manual exploration than about figures they had learned through vision. Experiment 2 investigated whether such gestures have a causal role in affecting the quality of mental imagery by manipulating participants’ gesture activity.


2016 ◽  
Vol 36 (6) ◽  
pp. 0633001 ◽  
Author(s):  
马瑞青 Ma Ruiqing ◽  
廖宁放 Liao Ningfang ◽  
篠森敬三 Shinomori Keizo

2011 ◽  
Vol 130-134 ◽  
pp. 3543-3547
Author(s):  
Jian Zhong Zhang ◽  
Yong Yi He ◽  
Jun Li

In order to assemble mobile-phone more automatically,with higher speed,and with better efficiency, an application of machine vision in mobile-phone lens assembling guiding system is introduced in this paper. By introducing machine vision,experiment equipment is designed to learn the performance of this technology and the feasibility of this application.Experiment was conducted and the experiment results show that machine vision is a new-born technology which is characterized by automation, high accuracy, flexibility and expansibility on functions.Finally,machine vision can effectively solve some problems in traditional industrial automatic equipment,and the future application prospects of this technology are prosperous.


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