Auto Train Animals through Augmented Reality (Augmented Reality For Animals)

Abstract

Animals have the cognitive ability just like humans but there is no research on how that cognition actually works. There is not much of an evidence if the animals’ decision making follow the same pattern as of humans or is there any difference in the thinking pipeline of the animals. Other than the thinking capabilities, the number of experimentation on the interaction of the animals and technology is quite low. Among such interactions, one particular idea is to control the animals’ motion using the Augmented Reality. There has been no work done on controlling the motion of animals using the Augmented Reality. Some attempts to dominate the animal movement have been done using Virtual Reality and Brain Communication devices. This Research based Project aims to find out whether augmented reality effects animals or not. The aim of the project is to verify whether we can manipulate animals’ behavior using Augmented Reality and if yes, then upto what extent. This project is all about testing the hypothesis and analyze the achieved success percentage. By achieving the desirable results, we can harness the better ways to control the domestic animals. For the hypothesis testing, numerous experiments were carried out. Each experiment had a particular objective and different speculations were cleared through the repetitive trials of each experiment. The theme of each experiment varied, from cognition to the vision. Total of five experiments were designed and each had varied number of trials. From the number of trials, the success percentages were calculated for each experiment. The experiments’ execution provided challenges due to uncertainties and suppositions. But nearly all of them were clear at the end of the practical as the results clearly contradicted the assumptions. One example is that Prey animals (having sideway eyes, like goats and sheep) uses both eyes to perceive the scene. This conjecture was false, as proven by the repeated iterations of the experiment. The overall results are quite satisfactory and have been discussed in detail in the document. The further research and process improvement can certainly help for increased accuracy. Page