G06F3/043

DETECTING INPUT GESTURES USING ONBOARD MICROPHONES

A method including generating two or more audio signals (e.g., by two or more microphones) based on a user interaction with a wearable device, generating an audio signature based on the two or more audio signals, and identifying at least one of a coordinate or a gesture based on an output of a machine-learned model given the audio signature.

Interactive biometric touch scanner

Aspects of this disclosure relate to a biometric sensing device that combines sensing with an actuator for two way communication between a finger on a surface and the device. The sensor can also function as an actuator. A finger can be authenticated based on an image of the finger generated by the sensor and also based on a response to energy delivered to the finger by the actuator. Two way communication can provide more robust authentication than fingerprint sensing alone.

ULTRASONIC TOUCH SENSOR

An ultrasonic touch sensor includes: a covering having a contact face configured to receive a touch; a first ultrasonic transducer element; a first semiconductor chip comprising the first ultrasonic transducer element; a second ultrasonic transducer element; and an acoustic barrier formed between the first ultrasonic transducer element and the second ultrasonic transducer element.

ULTRASONIC TOUCH SENSOR

An ultrasonic touch sensor includes: a covering having a contact face configured to receive a touch; a first ultrasonic transducer element; a first semiconductor chip comprising the first ultrasonic transducer element; a second ultrasonic transducer element; and an acoustic barrier formed between the first ultrasonic transducer element and the second ultrasonic transducer element.

METHOD AND SYSTEM FOR TRANSCRIBING MARKER LOCATIONS, INCLUDING ERASURES

One embodiment is an apparatus for capturing marker stroke locations, including erasures. The marker includes a transmitter of acoustic pulses and an erasure cap detector that detects when a removable erasure cap is attached to the marker. A receiver includes two or more sensors to sense the acoustic pulses, the receiver operable to determine and track marker locations. When the removable erasure cap is attached to the marker, the marker locations are erasures, and when there is no erasure cap attached, the marker locations being tracked capture strokes. Another embodiment is a method of capturing marker stroke locations, including erasures, using the marker, the removable erasure cap for erasures, and the receiver.

METHOD AND SYSTEM FOR TRANSCRIBING MARKER LOCATIONS, INCLUDING ERASURES

One embodiment is an apparatus for capturing marker stroke locations, including erasures. The marker includes a transmitter of acoustic pulses and an erasure cap detector that detects when a removable erasure cap is attached to the marker. A receiver includes two or more sensors to sense the acoustic pulses, the receiver operable to determine and track marker locations. When the removable erasure cap is attached to the marker, the marker locations are erasures, and when there is no erasure cap attached, the marker locations being tracked capture strokes. Another embodiment is a method of capturing marker stroke locations, including erasures, using the marker, the removable erasure cap for erasures, and the receiver.

Method and apparatus for classifying touch events on a touch sensitive surface

An apparatus classifies touch events. The apparatus includes a touch sensitive surface configured to generate a touch event when an object touches the touch sensitive surface. The touch event entails a mechanical vibration upon contact with the surface. The apparatus includes a touch event detector configured to detect the onset of a touch, and a touch event classifier configured to classify the touch event to identify the object used for the touch event. The mechanical vibration is created via any one of finger parts including a tip, a pad, a fingernail, and a knuckle, each of which has a unique feature different from each other.

Method and apparatus for classifying touch events on a touch sensitive surface

An apparatus classifies touch events. The apparatus includes a touch sensitive surface configured to generate a touch event when an object touches the touch sensitive surface. The touch event entails a mechanical vibration upon contact with the surface. The apparatus includes a touch event detector configured to detect the onset of a touch, and a touch event classifier configured to classify the touch event to identify the object used for the touch event. The mechanical vibration is created via any one of finger parts including a tip, a pad, a fingernail, and a knuckle, each of which has a unique feature different from each other.

INTELLIGENT HYBRID TOUCH DISPLAY DEVICE

An intelligent hybrid touch display device, including: a touch display unit; a rotary mechanical switch, being integrated with the touch display unit in a body; and a control unit, located in the body and including: a first interface for driving the touch display unit; a second interface coupled with the rotary mechanical switch; a touch and switch detection unit coupled with the first interface and the second interface; a transmission interface for communicating with at least one external device; and a processor and an operating system stored in a memory, the processor being coupled with the touch and switch detection unit and the transmission interface, and being used for executing a control program with a support of the operating system, so that the touch display unit and the rotary mechanical switch can cooperate to provide a hybrid operation for selecting, changing or activating function options.

UNINTENDED TOUCH REJECTION
20170357373 · 2017-12-14 ·

Examples relate to improving unintended touch rejection. The examples disclosed herein enable selecting, from a plurality of available modes of unintended touch rejection, a first mode of unintended touch rejection, capturing a first set of data associated with the first mode responsive to a touch being recognized at a touch-enabled surface of the system, and determining whether the recognized touch was intended based on the first set of data and a first set of criteria associated with the first mode of unintended touch rejection.