Psychophysical Experiment of Vibrotactile Pattern Recognition at Fingertip

Author(s):  
Myoung-jong Yoon ◽  
Kee-ho Yu
1984 ◽  
Vol 35 (6) ◽  
pp. 503-514 ◽  
Author(s):  
Roger W. Cholewiak ◽  
James C. Craig

2012 ◽  
Vol 59 (2) ◽  
pp. 525-530 ◽  
Author(s):  
F. Thullier ◽  
B. Bolmont ◽  
F. G. Lestienne

Perception ◽  
10.1068/p5914 ◽  
2009 ◽  
Vol 38 (1) ◽  
pp. 52-68 ◽  
Author(s):  
Lynette A Jones ◽  
Jacquelyn Kunkel ◽  
Erin Piateski

2006 ◽  
Vol 20 (12) ◽  
pp. 1359-1374 ◽  
Author(s):  
Lynette A. Jones ◽  
Brett Lockyer ◽  
Erin Piateski

1986 ◽  
Vol 79 (S1) ◽  
pp. S73-S73
Author(s):  
James C. Craig ◽  
Paul M. Evans

Psichologija ◽  
2001 ◽  
Vol 23 ◽  
pp. 102-110 ◽  
Author(s):  
Ona Gurčinienė ◽  
Alvydas Šoliūnas

Psichofizikiniame eksperimente su žmogumi tirta simetrijos įtaka skirtingo elementų skaičiaus figūroms atpažinti maskavimo, t. y. analizės laiko trūkumo, sąlygomis. Sunkiai verbalizuojamos testo figūros skyrėsi vertikalių ir horizontalių linijų skaičiumi ir simetrijos rodikliu. Testo figūrų rinkinius sudarė po lygiai simetrinių ir nesimetrinių figūrų, turinčių 4, 6 arba 8 linijos atkarpas. Stimulai buvo pateikiami šitokia tvarka: garsinis signalas, testo figūra (10 ms), tarpstimulinis intervalas, maskuojantis vaizdas, kurio pagrindu sudarytos testo figūros (500 ms). Tarpstimulinis intervalas parenkamas individualiai kiekvienam tiriamajam toks, kad teisingų atsakymų būtų 50-90 proc., ir bandymo metu šis intervalas nekeičiamas.Nustatyta, kad simetrinių keturių ir šešių linijos atkarpų figūrų atpažinimo tikslumas mažesnis už tokį pat atkarpų skaičių turinčių nesimetrinių figūrų atpažinimo tikslumą. Simetrijos įtaka aštuonių linijos atkarpų figūroms buvo priešinga: šios klasės simetrinės figūros buvo atpažįstamos geriau už nesimetrines figūras. Rezultatai interpretuojami, remiantis esamu optimalaus figūrų elementų skaičiaus ir simetrijos santykiu, sąlygojančiu efektyviausią atpažinimą. THE EFFECT OF SYMMETRY ON THE RECOGNITION ACCURACY OF PATTERNS OF DIFFERENT COMPLEXITY Ona Gurčinienė, Alvydas Šoliūnas Summary Symmetry is one of the most important determinants of visual perception. The influence of pattern symmetry on their recognition accuracy was investigated in the psychophysical experiment on human subjects under the conditions of backward masking. A rectangular frame of twelve line segments of equal length was used as a masking pattern (MP). The test patterns (TPs), nonverbal figures were the parts of MP composed by joining four, six, or eight line segments. Five figure sets consisting of equal number of symmetrical and asymmetrical figures of different complexity were used in the experiment. TP was presented for 10 ms, followed by MP for 500 ms with interstimulus interval, which was established for each subject individually as the shortest interval permitting 50-90 proc. recognition accuracy. Each subject took part in four to six test trial sessions. In each trial session, the equal number of symmetrical and asymmetrical figures composed by the same number of line segments was presented for recognition. Experimental data have demonstrated that effect of symmetry on pattern recognition depends on the number of pattern components. The asymmetrical figures consisting of four and six line segments were recognised more accurately than symmetrical ones, whereas the asymmetrical figures consisting of eight line segments have had the lower recognition accuracy than symmetrical ones. Experimental results were interpreted on the basis of optimal relation between the number of elements and symmetry that enables the greatest recognition probability of visual patterns.


Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


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