Identifying Features Determining Mouse Behavior in Forced Swim Test

Abstract

This paper presents the part of automation process of Forced Swim Test (FST). In the test a mouse behavior should be determined. In the automated process the mouse behavior is usually estimated with use of computer vision. Image processing algorithms are used to determine features that can determine mouse behavior. In this paper a common features are identified from a literature search. Those methods are presented and validated whether they can be used to create a classifier. The mouse position, speed and the sum of different pixels are compared to test outcome.