20240012170. SYSTEMS AND/OR METHODS FOR CREATING AND PASSIVELY DETECTING CHANGES IN ELECTRICAL FIELDS simplified abstract (Guardian Glass, LLC)
SYSTEMS AND/OR METHODS FOR CREATING AND PASSIVELY DETECTING CHANGES IN ELECTRICAL FIELDS
Organization Name
Inventor(s)
RYAN Andersen of AUBURN HILLS MI (US)
XUEQUN Hu of NORTHVILLE MI (US)
ROBERT G. Rogers of AUBURN HILLS MI (US)
SYSTEMS AND/OR METHODS FOR CREATING AND PASSIVELY DETECTING CHANGES IN ELECTRICAL FIELDS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240012170 titled 'SYSTEMS AND/OR METHODS FOR CREATING AND PASSIVELY DETECTING CHANGES IN ELECTRICAL FIELDS
Simplified Explanation
The abstract describes a detection system that includes an interface with a conductive coating on a substrate. Electrodes are provided to the substrate, and a multiplexer supplies current to the electrodes. A demultiplexer receives voltages from the electrodes and sends corresponding signals to a controller. The controller uses an algorithmic approach to determine the operation performed in connection with the interface. The system can recognize static interaction, and machine learning can be used for gesture recognition or identification of other interaction types. The technology has a wide range of applications, particularly in sensing interactions with a defined region such as touches, gestures, hovers, etc.
- The detection system has an interface with a conductive coating on a substrate.
- Electrodes are present on the substrate.
- A multiplexer supplies current to the electrodes.
- A demultiplexer receives voltages from the electrodes and sends signals to a controller.
- The controller uses an algorithmic approach to determine the operation performed on the interface.
- Static interaction can be recognized.
- Machine learning can be used for gesture recognition and identification of other interaction types.
- The technology can be applied in various applications where sensing interactions with a defined region is desirable.
Potential Applications:
- Touchscreen devices
- Gesture-based control systems
- Virtual reality and augmented reality interfaces
- Interactive displays and kiosks
- Automotive touch panels
- Gaming consoles and controllers
Problems Solved:
- Accurate detection and recognition of various types of interactions
- Improved user experience and interface responsiveness
- Enhanced control and input methods for devices and systems
Benefits:
- Precise and reliable interaction detection
- Versatile and adaptable to different applications
- Potential for advanced gesture recognition and machine learning capabilities
- Improved user interface and user experience
- Increased efficiency and convenience in interacting with devices and systems
Original Abstract Submitted
a detection system has an interface including a substrate supporting a conductive coating. electrodes are provided to the substrate. a multiplexer provides current to the electrodes. a demultiplexer receives voltages from electrodes and provides corresponding signals to a controller. the controller receives these signals and determines therefrom an operation performed in connection with the interface by applying an algorithmic approach. static interaction is recognizable, and machine learning can be used for gesture recognition and/or identification of other interaction types. the technology can be used in a broad array of applications, e.g., where it is desirable to sense interactions with a defined region such as, for example, in the case of touches, gestures, hovers, and/or the like.
