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Implementation of Machine Learning in Color Perception and Psychology: A Review
Published in Rekh Ram Janghel, Rohit Raja, Korhan Cengiz, Hiral Raja, Next Generation Healthcare Systems Using Soft Computing Techniques, 2023
Mitra, Dipannita Basu, Ahona Ghosh
Color vision, a feature of visual perception, is the skill to perceive differences between light consisting of several wavelengths irrespective of light intensity. The researchers have made different attempts to identify and regulate the connectivity among the brain lobes during a person's color perception-based activities. Color psychology is the study of colors to determine human behavior. Color has an effect on experiences that aren't immediately noticeable, like the different flavors of food. Furthermore, colors include qualities that may cause people to experience specific sentiments. The present chapter reviewed and discussed different machine learning-based techniques and technologies applied in the literature involving color perception and psychology analysis, which can create a road map to future researchers in this domain so possible benefits and drawbacks can be explored further. A detailed description of the working mechanisms of different algorithms can be helpful in comparative study, and clinical applications like rehabilitation regarding color blindness will also benefit from it.
Visual Perception
Published in Konar Amit, Artificial Intelligence and Soft Computing, 2018
The phrase ‘Visual perception’ generally refers to construction of knowledge to understand and interpret 3-dimensional objects from the scenes that humans and machines perceive through their visual sensors. The human eye can receive a wide spectrum of light waves, and discriminate various levels of intensity of light reflected from an object. Many lower class animals, however, have a narrow spectrum of vision in the visible (400–700 nM) or infrared (> 700 nM) wavelength. Modem robots are equipped with sonar (ultrasonic) or laser sensors and video cameras to capture the information around its world for constructing the model of the neighborhood. The knowledge about its neighboring world, derived from the sensory information, also called the “perception of the robot’ is useful for generating navigational plans and action (like arm movement) sequences by the robot.
Vision and Visual Illusions
Published in Frank H Hawkins, Harry W Orlady, Human Factors in Flight, 2017
Frank H Hawkins, Harry W Orlady
Visual perception involves the eyes, the balancing mechanism of the ear (the vestibular apparatus) and the brain. It is also influenced by past experience. Stepping onto a moving walkway or an escalator when it is stationary gives a strange sensation. A conflict has arisen between the visual message, which says it is stationary, and past experience which says it should be moving and that an acceleration should be sensed in the vestibular apparatus and muscular action taken to maintain balance.
Cognitive effect on image quality in full ultra-high definition(8 K)
Published in Journal of Information Display, 2020
DaEun Park, YoonJung Kim, YungKyung Park
Visual perception is achieved by converting light reflected from an object to nerve stimuli in the eye's retina. This is a physiological phenomenon, which involves bottom-up processing before cognitive processing. In this bottom-up processing of visual perception, optical illusion is observed with a perceptual response different from the actual stimuli. The Mach band effect and Chevreul illusion are examples of such. These optical illusions are caused by the human receptive field, a visual space excited by light at the center and in the surrounding area.