Hardware-Embedded Pointing Transfer Function Capable of Canceling OS Gains

Research Background and Problem

• Identified Issues or Challenges:

  • Native pointer transfer functions (designed gain functions) in operating systems (OS) fail to meet the demands of high-performance users, especially esports players. These functions are affected by hardware settings (CPI, sampling rate, etc.) and OS-native function disturbances, making it difficult for users to experience and adapt to consistent functionality.
  • The current level of customization for mouse pointer transfer functions is limited, preventing users from having sufficient control to optimize performance.
  • Nearly all modern OS transfer functions are based on logical units rather than physical units, causing significant changes in user-perceived gain functions when hardware parameters are altered.
  • Although accelerated transfer functions can enhance performance, their application in esports is limited due to unavoidable disturbances.

• Why This Problem is Important:

  • Professional esports competitions demand extremely high performance from input devices, where even minor disadvantages can impact results.
  • There is significant demand within the gaming community for high-performance customizable mouse transfer functions, yet existing OS and tools fail to effectively meet these needs.

• Research Motivation and Related Work:

  • Current solutions like libpointing, Closest tool, and Raw Accel have the following limitations:
    • Require manual adaptation to hardware parameters, increasing user burden.
    • Some methods rely on additional software, which may be restricted by anti-cheat tools.
    • Their implementations are often imprecise and lack adaptability across multiple OS environments.
  • This study aims to develop a solution that can be directly embedded into hardware, eliminating reliance on OS settings and additional software.

Solution

• Method or Solution:

  • The authors propose a hardware-embedded pointer transfer function technology, where the transfer function is defined within the device firmware. It includes an algorithm to cancel the influence of OS-native gain functions, ensuring the defined function remains consistent despite external setting changes.
  • The optimized solution consists of two main components:
    1. Custom Gain Function: Provides fully customizable gain functions in physical units (e.g., meters/second).
    2. OS Gain Function Correction Algorithm: Automatically counteracts disturbances from OS-native functions and hardware parameter interference.

• Innovations:

  1. Custom functions allow users to upload gain functions defined in physical units, overcoming the limitations of traditional OS-based logical unit calculations.
  2. The algorithm is embedded in hardware, eliminating the need for additional software and enabling compatibility with any OS.
  3. Provides a "gain cancellation" feature for OS-native functions, allowing users to experience consistent operation independent of the environment.

• Implementation Steps:

  1. Hardware Implementation: Develop a custom dual-sensor mouse equipped with a PixArt PMW3389 sensor and Espress ESP32-S3 microprocessor, enabling users to upload their gain functions.
  2. Firmware Development:
     • The firmware processes gain tables using interpolation methods and calculates HID reports in real time to ensure pointer movement aligns with the user-defined gain function.
     • Provides gain cancellation tables to correct disturbances caused by OS-native gain functions.
  3. Technical Implementation Details:
     • Precompute "gain cancellation" functions (mapping OS gain to target gain) using lookup tables.
     • Ensure the direction of mouse reports matches the sensor readings to prevent cursor jitter.
  4. Validation and Optimization:
     • Conduct technical evaluations and comparative experiments to analyze the accuracy and responsiveness of the implemented gain functions.

Research Outcomes

• Specific Outcomes:

  • The proposed hardware-embedded technology successfully implements user-defined gain functions from a physical unit perspective, offering high flexibility and reliability.
  • Under real hardware conditions, CPI variations, and OS transfer function disturbances, results demonstrate that this technology achieves comparable accuracy and robustness to conventional solutions while addressing their limitations.

• Advantages Compared to Existing Solutions:

  1. No Additional Software Installation: Compatible with all OS environments, reducing user burden.
  2. Automated Hardware Setting Compensation: Robust against CPI and sampling rate disturbances, ensuring consistent user experience.
  3. Fine-Grained Control: Sub-pixel level error allows precise alignment between motion range and gain definition.
  4. High Compatibility: Independent of OS APIs, reducing risks of anti-cheat detection, making it suitable for competitive gaming.

• Experimental or Evaluation Results:

  • Across multiple pointer transfer function configurations (fixed CPI and variable CPI experimental conditions), the implemented gain function achieved an average absolute error (MAE) within 5 pixels, with an R² value exceeding 0.966 compared to the target gain.
  • When hardware parameters (e.g., CPI, sampling rate) dynamically changed, the technology maintained consistent gain implementation, with R² values remaining above 0.973.

• Limitations and Future Directions:

  1. Limitations:
     • Users still need to adjust OS gain settings via hardware or simple software to match the firmware's gain cancellation algorithm.
     • The resolution of supported gain functions is proportional to firmware storage size, leaving room for optimization.
  2. Future Directions:
     • Develop intelligent OS gain auto-detection and preference learning to further simplify user operations.
     • Extend the solution to other input devices (e.g., touchpads) and enhance applications in complex scenarios such as VR and MR environments.
     • Conduct subjective user experiments to evaluate esports players' perceived performance improvements with this solution.