Interactive Navigation with Human in the Loop Using Reinforcement Learning
N. Srija, U Sindhuja, M. P. Bobby · 2024
In this document, we present a groundbreaking concept that has the potential to revolutionize human-computer interaction: “Hands-Free Mouse Control with Facial Recognition.” Our focus is on seamlessly integrating facial recognition technology with traditional mouse control systems, introducing a hands-free approach that transcends conventional input devices. The primary objective is to enhance accessibility, particularly for individuals facing mobility challenges or disabilities, by enabling users to navigate and interact with their computers through intuitive facial movements. This transformative concept prioritizes user convenience by eliminating the need for external hardware like mice or touchpads. Users can control their computers using natural facial gestures, fostering a more intuitive and user-friendly computing experience. Beyond its practical applications, this approach signifies a paradigm shift in the field of human-computer interaction, offering new possibilities for a more inclusive and accessible digital environment. To assist authors in effectively communicating their research, a concise guide and template are provided. The template covers essential sections such as the abstract, introduction, methodology, results, discussion, and conclusion. By employing this template, authors can contribute to the advancement of this transformative field, exploring the implications, challenges, and future developments of the hands-free mouse control with facial recognition concept.