17899138. ELECTRONIC DEVICE IDENTIFYING FORCE TOUCH AND METHOD FOR OPERATING THE SAME simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
ELECTRONIC DEVICE IDENTIFYING FORCE TOUCH AND METHOD FOR OPERATING THE SAME
Organization Name
Inventor(s)
Seungjin Yang of Suwon-si (KR)
ELECTRONIC DEVICE IDENTIFYING FORCE TOUCH AND METHOD FOR OPERATING THE SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 17899138 titled 'ELECTRONIC DEVICE IDENTIFYING FORCE TOUCH AND METHOD FOR OPERATING THE SAME
Simplified Explanation
The patent application describes an electronic device that uses deep learning models to determine if a touch input is a force touch. Here are the key points:
- The electronic device includes a memory that stores deep learning models for determining force touch.
- It also has a touchscreen and a processor that can identify touch inputs from the user through the touchscreen.
- The processor receives touch pixel data for frames with a time difference based on the touch input.
- It then uses the touch pixel data to determine if the touch input is a force touch.
- If the touch input is reinputted a designated number of times or more within a designated time, the processor uses a first determination model among the deep learning models to identify the force touch.
- Otherwise, it uses a determination model with a lower computation load than the first model to identify the force touch.
Potential applications of this technology:
- Mobile devices: This technology can be used in smartphones and tablets to enhance the user experience by providing force touch capabilities.
- Gaming: Force touch can be used in gaming applications to provide more immersive and interactive gameplay.
- Accessibility: Force touch can be used as an input method for individuals with limited mobility, providing them with alternative ways to interact with electronic devices.
Problems solved by this technology:
- Accurate force touch detection: The deep learning models help in accurately identifying force touch inputs, improving the overall user experience.
- Efficient computation: By using different determination models based on the touch input, the device can optimize the computation load and improve performance.
Benefits of this technology:
- Enhanced user experience: Force touch capabilities provide users with additional ways to interact with electronic devices, making the user experience more intuitive and engaging.
- Improved accessibility: Force touch can make electronic devices more accessible to individuals with limited mobility, allowing them to interact with the devices more easily.
- Efficient computation: By using determination models with varying computation loads, the device can optimize performance and energy efficiency.
Original Abstract Submitted
According to various embodiments, an electronic device includes a memory storing deep learning models for determining a force touch, a touchscreen, and a processor configured to identify a touch input of a user through the touchscreen, receive touch pixel data for frames having a time difference based on the touch input, and identify whether the touch input is a force touch based on the touch pixel data. The processor is configured to identify whether the touch input is the force touch using a first determination model among the deep learning models in response to identifying that the touch input is reinputted a designated first number of times or more within a designated time, and otherwise, identify whether the touch input is the force touch using a determination model having a lower computation load than the first determination model among the deep learning models.
