A Comparative Study of Hand Movement Sensing Techniques for Mouse Cursor Control

This paper presents a comparative study of various hand movement sensing techniques for mouse cursor control. With the aim of enhancing user experience and accessibility, different sensing approaches, including vision-based techniques and wearable devices, are evaluated, and analyzed. The underlying principles, technical implementations, and performance characteristics of each technique are examined. Additionally, the paper investigates the algorithmic approaches used to interpret hand movement data and generate cursor commands. Usability considerations, such as user comfort, precision, and adaptability, are discussed in relation to each sensing technique. Furthermore, potential applications and use cases of hand movement-controlled mouse cursors are explored. The findings of this study provide valuable insights into the strengths, limitations, and practical implications of different hand movement sensing techniques for cursor control, aiding researchers and designers in selecting the most appropriate approach for their specific requirements.