Microsoft technology licensing, llc (20240302916). ONLINE TUNING OF A TOUCH DEVICE PROCESSING ALGORITHM simplified abstract
Contents
ONLINE TUNING OF A TOUCH DEVICE PROCESSING ALGORITHM
Organization Name
microsoft technology licensing, llc
Inventor(s)
Hanan Grinberg of Ramat-Gan (IL)
ONLINE TUNING OF A TOUCH DEVICE PROCESSING ALGORITHM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240302916 titled 'ONLINE TUNING OF A TOUCH DEVICE PROCESSING ALGORITHM
The patent application describes systems, methods, and instrumentalities for online tuning of pen characterizations during use of a pen with a touch device. A digitizer detects signals associated with the pen and noise, while a touch controller executes a signal characterization model and an online tuner processes the detected signals for online tuning.
- Online tuning of pen characterizations during use of a pen with a touch device
- Digitizer detects signals associated with the pen and noise
- Touch controller executes a signal characterization model
- Online tuner processes detected signals for online tuning
- Online testing validates the online-tuned signal characterization model
- Tuning based on signal statistics such as mean signal gradients
- Signal characterization models include positioning, noise reduction, communication decoding, etc.
Potential Applications: - Improving the accuracy and performance of pen input on touch devices - Enhancing the user experience in digital writing and drawing applications - Optimizing signal processing for better communication decoding in pen-based devices
Problems Solved: - Addressing inaccuracies and noise in pen signal detection - Improving the overall performance and responsiveness of pen input on touch devices
Benefits: - Enhanced precision and accuracy in pen input on touch devices - Real-time tuning for improved user experience - Optimal signal processing for better communication decoding
Commercial Applications: Title: "Enhanced Pen Characterization Technology for Touch Devices" This technology can be applied in digital writing tablets, graphic design software, electronic signature capture devices, and interactive whiteboards. It can benefit companies in the digital art, education, and business sectors by providing more accurate and responsive pen input capabilities.
Questions about Online Tuning of Pen Characterizations: 1. How does online tuning of pen characterizations improve the user experience with touch devices? Online tuning enhances the accuracy and responsiveness of pen input, resulting in a smoother and more natural writing or drawing experience for users. 2. What are the key factors considered in signal characterization models for online tuning? Signal statistics such as mean signal gradients play a crucial role in optimizing the performance of pen input on touch devices.
Original Abstract Submitted
systems, methods, and instrumentalities are described herein related to online tuning of pen characterizations. online tuning may be performed during use of a pen with a touch device. a digitizer may detect signals associated with the pen and noise. a touch controller may execute a signal characterization model that characterizes the detected signals and an online tuner that processes the detected signals to perform online tuning of the signal characterization model. online testing may validate an online-tuned signal characterization model for online use. tuning may be based on signal statistics, such as mean or average signal gradients in the detected signals. signal characterization models may include positioning, signal locating, noise reduction, communication decoding, etc.
