System and method for classifying touch events based on relative orientation
By using the relative orientation between the touch receiver and the touch effect in the touch device to classify touch events, the problems of low energy efficiency and error prone in the prior art are solved, and efficient and accurate touch event recognition and user interaction simplification are achieved.
CN119731632APending Publication Date: 2025-03-28HUAWEI TECH CO LTD
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Patent Information
- Application Number
- CN202380060626.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2022-09-23
- Filing Date
- 2023-08-30
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
The prior art has problems with low energy efficiency, error prone and uncomfortable user experience when expanding the apparently recognizable touch events of a touch device, and the methods are usually device-specific.
Method used
Energy efficient touch event classification is achieved by distinguishing the touch orientation characteristics of the received touch gestures by using the relative orientation between the touch receiver and the touch effect in the touch device.
Benefits of technology
Effectively expand the number of touch events that the touch device can clearly recognize, avoid misclassification of touch events, simplify user interaction, and reduce the processing power required to identify inputs.
✦ Generated by Eureka AI based on patent content.
Abstract
A method of generating a classification of a touch event is provided. The method includes the system may detect a first touch event that is affected by a touch effector (130) on a touch receiver (510A). The system may then determine a first touch gesture associated with the first touch event; determining an orientation associated with the touch effector (130); determining an orientation of the touch receiver (510A); calculating a first relative orientation between the orientation associated with the touch effector (130) and the orientation of the touch receiver (510A); and generating a classification of the first touch event based on the first touch gesture and the first relative orientation.
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