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@article{183343,
        author = {Sai Adarsh S and Prasanna Venkateshan and Prithvi Alva Suresh},
        title = {Emulating Human-Like Mouse Movement Using Bezier Curves and Behavioural Models for Advanced Web Automation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1364-1370},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183343},
        abstract = {Advanced web automation systems such as browser agents address the challenge of bot detection by generating highly realistic mouse movements. This paper details the technical aspects of this emulation, which is fundamentally built upon cubic Bezier curves for path generation, complemented by velocity variations and movement timing derived from Fitts’s Law. Furthermore, it explores the incorporation of stochastic micro-adjustments and contextual behaviours to enhance authenticity, providing a comprehensive understanding of how these systems produce trajectories and interaction delays that are indistinguishable from genuine human interactions, thereby countering common bot-detection mechanisms.},
        keywords = {Human-computer interaction (HCI), Bezier curves, Fitts’s Law, mouse trajectory modelling, behavioural biometrics, web automation, motor control, speed–accuracy tradeoff.},
        month = {August},
        }