NINTENDO …..New patient
uiux said:
US20250025779 - SYSTEM, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Abstract
A system includes a controller operated by a user and one or more processors. The controller includes a plurality of pressable buttons that are independent of each other, a first sensor that detects pressing of at least one of the buttons, and a second sensor that detects approach or contact of a finger of a user to at least one of the plurality of buttons. When a movement operation to sequentially approach or contact at least two buttons with the finger of the user is performed, the one or more processors perform first processing based on an order of the buttons approached or contacted in the movement operation.
From GPT:
Nintendo's patent (US20250025779) describes an innovative controller system that integrates gesture-based input recognition using a combination of mechanical buttons and sensors. This system is designed to detect both traditional button presses and touch-based gestures, allowing users to perform sequential interactions without physically pressing the buttons.
Technology and Sensors Involved
First Sensor (Mechanical Press Detection)
Detects button presses through mechanical switches or conductive rubber contacts.
Likely implemented using standard electrical contacts (e.g., conductive carbon pads on a PCB).
Second Sensor (Touch/Proximity Detection)
Detects when a finger approaches or lightly touches a button without pressing it.
Possible implementations include:
Capacitive Touch Sensors (similar to smartphone touchscreens).
Infrared Sensors (measuring reflected IR light for proximity detection).
Ultrasonic Sensors (using sound waves to sense distance).
Gesture Recognition via Sequential Button Interaction
The system detects ordered button touches to determine the intended input.
Supports clockwise vs. counterclockwise gestures for different actions.
Filters out accidental touches using timing thresholds.
Neuromorphic Potential
A neuromorphic processor like BrainChip Akida could significantly enhance this system. Unlike conventional processors, neuromorphic chips process events asynchronously, only activating when needed. This provides:
Power efficiency: No need for continuous polling of sensors.
Adaptive learning: The system could learn user-specific input habits over time.
Ultra-low-latency processing: Faster and more accurate gesture recognition.
Improved filtering: Better distinguishing between intentional gestures and accidental touches.
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