Mouse Dynamic

Mouse dynamics research explores the analysis of mouse movements for various applications, primarily focusing on user authentication and behavioral analysis in animals. Current research utilizes machine learning models, including decision trees, k-nearest neighbors, random forests, convolutional neural networks, and transformers, to analyze mouse trajectories and clickstream data for improved security and automated behavioral assessments. This field offers significant potential for enhancing computer security through continuous authentication and for advancing the understanding of animal behavior through automated analysis of video recordings, impacting both cybersecurity and biological research.