{'fraction_non_alphanumeric': 0.019119351100811123, 'fraction_numerical': 0.0005793742757821553, 'mean_word_length': 4.874149659863946, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Human Response to Different Adaptive Optic Flow Stimuli

The term “Optic flow” refers to the change in visual input as a person moves through an environment. It is the apparent visual motion we experience as we move through an environment and it is a common visual phenomena that we experience everyday. Optic flow can be characterized by several components, including radial flow either inward or outward, laminar flow to the left or to the right, rotation or curl which is clockwise or counterclockwise motion, and deformation or change in shape. Significant research has been performed to investigate how humans, animals and insects use optic flow to navigate through the world. However, not much research has been conducted to study the impact of eye diseases, age or environmental conditions on optic flow detection. In our efforts, we have designed six different types of simulated optic flow stimuli and these have been integrated to a graphical user interface in order to understand and analyze the general response of humans to these stimuli. The parameters of our model such as the number of dots, their lifetime, speed, etc. may be varied through the graphical user interface to produce desired visual patterns on the screen. These optic flow modules (corresponding to each stimulus) have been generated using OpenGL to better represent their 3-dimensional nature. The tests are adaptive in nature i.e. their level of difficulty is based on subject’s response. The subject indicates the position of the FOE (Focus of Expansion) by clicking the left or the right mouse button. The basic idea is to determine and analyze the response of humans with different visual impairments to various adaptive optic flow stimuli.