scholarly journals Visual Acceleration Perception for Simple and Complex Motion Patterns

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0149413 ◽  
Author(s):  
Alexandra S. Mueller ◽  
Brian Timney
2013 ◽  
Vol 21 (17) ◽  
pp. 19850 ◽  
Author(s):  
A. V. Kanaev ◽  
C. W. Miller

2020 ◽  
pp. 1-1
Author(s):  
Yarong Luo ◽  
Chi Guo ◽  
Jinteng Su ◽  
Wenfei Guo ◽  
Quan Zhang

Perception ◽  
1986 ◽  
Vol 15 (5) ◽  
pp. 573-588 ◽  
Author(s):  
Jacky Emmerton

The ability of pigeons to discriminate complex motion patterns was investigated with the aid of moving Lissajous figures. The pigeons successfully learned to differentiate two successively presented cyclic trajectories of a single moving dot. This suggests that they can recognize a movement Gestalt when information about shape is minimal. They also quickly learned a new discrimination between moving-outline stimuli with repetitively changing contour patterns. Contrasting results were obtained when the dot or outline stimuli were axis-rotated through 90°. Rotational invariance of pattern discrimination was clearly demonstrated only when moving contours were visible. Nevertheless, pigeons could discriminate the axis-orientation of a moving-dot or moving-outline pattern when trained to do so. Discrimination did not seem to depend on single parameters of motion but rather on the recognition of a temporally integrated movement Gestalt. The visual system of pigeons, as well as that of humans, may be well adapted to recognize the types of oscillatory movements that represent components of the motor behaviour shown by many living organisms.


2015 ◽  
Vol 1 (1) ◽  
pp. 270-273 ◽  
Author(s):  
J. Ortmüller ◽  
T. Gauer ◽  
M. Wilms ◽  
H. Handels ◽  
R. Werner

AbstractIn radiotherapy of abdominal and thoracic tumors, respiratory motion is a problem for an accurate treatment. Most current motion compensation techniques rely on externally acquired breathing signals of the patient. The systems in clinical use usually work with 1D surface motion signals to describe internal structure respiratory motion patterns. As a 1D signal is not able to describe complex motion patterns and breathing variations, in this work the Microsoft Kinect, which can record multidimensional respiratory surface motion signals, is proposed to be used instead. For the Kinect, a clinically acceptable measurement setup is designed and Kinect measurements are compared to the Varian RPM system (clinical standard). The results show that the signals are well aligned. An additional comparison of Kinect signals from different regions of interest on the chest further reveals variations between them. This illustrates that the use of a system that provides multidimensional signals is worthwhile; the knowledge about breathing variations could be applied for optimization of current clinical workflows.


2008 ◽  
Vol 48 (2) ◽  
pp. 167-178 ◽  
Author(s):  
Wang On Li ◽  
Sieu K. Khuu ◽  
Anthony Hayes

1996 ◽  
Vol 16 (15) ◽  
pp. 4716-4732 ◽  
Author(s):  
Bard J. Geesaman ◽  
Richard A. Andersen

2007 ◽  
Vol 98 (3) ◽  
pp. 1115-1124 ◽  
Author(s):  
Hilary W. Heuer ◽  
Kenneth H. Britten

The medial superior temporal (MST) area contains neurons with tuning for complex motion patterns, but very little is known about the generation of such responses. To explore how neuronal responses varied across complex motion pattern coherence, we recorded from single units while varying the strength of the global motion pattern in random dot stimuli. Stimuli were a family of optic flow patterns, consisting of radial motion, rotary motion, or combinations thereof (“spiral space”). We controlled the strength of the motion in the stimuli by varying the coherence—the proportion of dots carrying the signal. This allows motion strength to be varied independently of stimulus size, speed, or contrast. Most neurons’ responses were well described as a linear function of stimulus coherence. Although more than half the cells possessed significant nonlinearities, these typically accounted for little additional variance. Nonlinear coherence response functions could either be compressive (e.g., saturating) or expansive and occurred in both the preferred and null direction responses. The presence of nonlinearities was not related to neuronal response properties such as preferred spiral-space direction or tuning bandwidth; however, cells with compressive nonlinearities in both the preferred and null directions tended to have higher response amplitudes and were more sensitive to weak motion signals. These cells did not appear to form a distinct subpopulation within MST. Our results suggest that MST neurons predominantly linearly encode increasing pattern motion energy within their RFs.


2006 ◽  
Vol 12 (11) ◽  
pp. 3171-3179 ◽  
Author(s):  
Sibylle Grad ◽  
Sylwester Gogolewski ◽  
Mauro Alini ◽  
Markus A. Wimmer

2002 ◽  
Vol 23 (9) ◽  
pp. 856-863 ◽  
Author(s):  
Pär Westblad ◽  
Takeshi Hashimoto ◽  
Ian Winson ◽  
Arne Lundberg ◽  
Anton Arndt

Bones of the ankle-joint complex are difficult to represent with superficial markers and an invasive approach is required to quantify skin movement artifact. Three-dimensional coordinates during gait were first calculated from sets of three superficial markers located on both the lower leg and heel. Intracortical pins equipped with external marker arrays were subsequently inserted in the tibia, talus and calcaneus for further trials. Tibiocalcaneal and talocalcaneal joint helical axis component rotations were calculated. Intersubject motion patterns were comparable. Root mean square (RMS) differences were chosen to describe discrepancies between temporal intracortical pin and superficial marker curves. Results for the tibiocalcaneal rotations inversion / eversion, plantarflexion / dorsiflexion and abduction / adduction were 2.5°, 1.7° and 2.8° respectively. Inversion / eversion about the talocalcaneal joint showed an RMS difference of 2.1°. A systematic over- or underestimation of superficial relative to bone-anchored markers could not be determined.


2006 ◽  
Vol 0 (0) ◽  
pp. 061004065151001
Author(s):  
Sibylle Grad ◽  
Sylwester Gogolewski ◽  
Mauro Alini ◽  
Markus A. Wimmer

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