一种应用于智能遥控器的手势定位方法、装置及电子设备
By acquiring the position and attitude data of the remote control, using an LSTM model to generate a dynamic pointing area and perform gesture intent reasoning, the problem of inaccurate positioning of smart remote controls in complex environments is solved, achieving higher control accuracy and user-friendliness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUXI WEIDA INTELLIGENT ELECTRONICS CO LTD
- Filing Date
- 2024-11-12
- Publication Date
- 2026-07-17
AI Technical Summary
The positioning method of existing smart remote controls relies on a single parameter, which leads to a significant decrease in positioning accuracy under the influence of factors such as ambient light and object obstruction, making it easy to cause misoperation or failure to achieve the expected control effect.
By acquiring position and attitude change data from the smart remote control, the UWB and IMU modules are used to obtain information such as absolute position, acceleration, and angular velocity. The data is then processed and predicted using an LSTM model to generate a dynamic pointing area. Finally, the target object is determined through gesture intent reasoning and probability calculation.
It improves the pointing accuracy and control safety of the remote control, reduces misoperation, and enhances the user experience and the flexibility and convenience of the device.
Smart Images
Figure CN119479255B_ABST