Abstract: A computer peripheral device (e.g., a computer mouse) includes an optical sensor configured to generate optical data corresponding to a surface that the computer peripheral device is placed upon and a processor(s) configured to determine, based on the optical data, a relative displacement of the computer peripheral device along the surface, identify one or more characteristics of the surface based on the optical data; compare the one or more characteristics with one or more corresponding baseline characteristics stored in memory; classify, based on the comparing of the one or more characteristics with one or more corresponding baseline characteristics, a type of the surface; and adjust, based on the classified type of the surface, an aspect of the determination of the relative displacement of the peripheral device or an operation of the optical sensor that alters the generating of the optical data.

Abstract: A computer-implemented method includes receiving first and second movement data corresponding to a movement of a first and second computer mouse, respectively, wherein the first and second computer mice are oriented in a same direction are moving in unison over a same trajectory while the first and second movement data is contemporaneously received; determining a movement distance for the first and second computer mice based on the first and second movement data, respectively; determining a performance characteristic for the first computer mouse based on the determined first movement distance; determining the performance characteristic for the second computer mouse based on the determined second movement distance; determining a difference in the performance characteristic for the first computer mouse with respect to the second computer mouse; and calibrating the performance characteristic of the second computer mouse to match the performance characteristic of the first computer mouse.

Abstract: A system can include a serial, full-duplex, synchronous peripheral communication interface composed of four communication lines that communicatively couple a host processor to an optical sensor, the four communication lines including: a clock (CLK) line; a chip select (CS) line; a host output (MOSI) line; and a sensor output (MISO) line, the MISO line operating according to the following conditions when the CS line is selected: provide a service register data indicating when one or more predetermined conditions have occurred prior to receiving any commands from the host processor; provide a state register data defining the one or more predetermined conditions that occurred; and in response to receiving a command from the host processor received after the service register data and state register data is provided, the command requesting input device operational data, provide the operational data to the host processor.

Abstract: A computer peripheral device (e.g., a computer mouse) includes an optical sensor configured to generate optical data corresponding to a surface that the computer peripheral device is placed upon and a processor(s) configured to determine, based on the optical data, a relative displacement of the computer peripheral device along the surface, identify one or more characteristics of the surface based on the optical data; compare the one or more characteristics with one or more corresponding baseline characteristics stored in memory; classify, based on the comparing of the one or more characteristics with one or more corresponding baseline characteristics, a type of the surface; and adjust, based on the classified type of the surface, an aspect of the determination of the relative displacement of the peripheral device or an operation of the optical sensor that alters the generating of the optical data.

Abstract: A method of operating an input device can include generating a light beam by a light source module, steering the light beam towards a target location on an underlying surface, steering a reflected light beam towards an image sensor of the input device, receiving the reflected light beam by the image sensor, and generating tracking data by the image sensor that corresponds to a two-dimensional (2D) movement of the input device on the underlying surface. The method further includes determining that the input device is operating: on and in contact with the underlying surface when the reflected light beam received by the image sensor is located on a first set of pixels of the image sensor, and above and not in contact with the underlying surface when the reflected light beam is located on a second set of pixels of the plurality of pixels of the image sensor.

Abstract: A computer peripheral device (e.g., a computer mouse) includes an optical sensor configured to generate optical data corresponding to a surface that the computer peripheral device is placed upon and a processor(s) configured to determine, based on the optical data, a relative displacement of the computer peripheral device along the surface, identify one or more characteristics of the surface based on the optical data; compare the one or more characteristics with one or more corresponding baseline characteristics stored in memory; classify, based on the comparing of the one or more characteristics with one or more corresponding baseline characteristics, a type of the surface; and adjust, based on the classified type of the surface, an aspect of the determination of the relative displacement of the peripheral device or an operation of the optical sensor that alters the generating of the optical data.

Abstract: Methods and systems for determining a displacement of a peripheral device are provided. In one example, a peripheral device comprises: an image sensor, and a hardware processor configured to: control the image sensor to capture a first image of a surface when the peripheral device is at a first location on the surface, the first image comprising a feature of the first location of the surface; execute a trained machine learning model using data derived from the first image to estimate a displacement of the feature between the first image and a reference image captured at a second location of the surface; and determine a displacement of the peripheral device based on the estimated displacement of the feature.

Abstract: A computer peripheral device (e.g., a computer mouse) includes an optical sensor configured to generate optical data corresponding to a surface that the computer peripheral device is placed upon and a processor(s) configured to determine, based on the optical data, a relative displacement of the computer peripheral device along the surface, identify one or more characteristics of the surface based on the optical data; compare the one or more characteristics with one or more corresponding baseline characteristics stored in memory; classify, based on the comparing of the one or more characteristics with one or more corresponding baseline characteristics, a type of the surface; and adjust, based on the classified type of the surface, an aspect of the determination of the relative displacement of the peripheral device or an operation of the optical sensor that alters the generating of the optical data.

Abstract: In certain embodiments, an input device includes a housing, a processor disposed in the housing, and an image sensor to track a movement of the input device with respect to an underlying surface. The image sensor includes a pixel array and operates in two modes of operation including a first mode of operation where the processor causes the image sensor to utilize a first plurality of pixels in the pixel array when tracking the movement of the input device or a second mode of operation where the processor causes the image sensor to utilize a second plurality of pixels in the pixel array when tracking the movement of the input device, where the second plurality of pixels has fewer pixels than the first plurality of pixels.

Abstract: A computer peripheral device (e.g., a computer mouse) includes an optical sensor configured to generate optical data corresponding to a surface that the computer peripheral device is placed upon and a processor(s) configured to determine, based on the optical data, a relative displacement of the computer peripheral device along the surface, identify one or more characteristics of the surface based on the optical data; compare the one or more characteristics with one or more corresponding baseline characteristics stored in memory; classify, based on the comparing of the one or more characteristics with one or more corresponding baseline characteristics, a type of the surface; and adjust, based on the classified type of the surface, an aspect of the determination of the relative displacement of the peripheral device or an operation of the optical sensor that alters the generating of the optical data.

Abstract: A system including a first device with a surface and an identification feature that includes or encodes machine-readable data related to the surface, and a second device including a sensor and one or more processors coupled to the sensor that are configured to determine a relative displacement of the second device as it is moved along the surface of the first device. The second device receives the machine-readable data related to the surface from the identification features from the first device and configures the second device to determine the relative displacement along the surface differently (e.g., improves displacement tracking) based on the machine-readable data related to the surface.

Abstract: A method of operating an input device can include generating a light beam by a light source module, steering the light beam towards a target location on an underlying surface, steering a reflected light beam towards an image sensor of the input device, receiving the reflected light beam by the image sensor, and generating tracking data by the image sensor that corresponds to a two-dimensional (2D) movement of the input device on the underlying surface. The method further includes determining that the input device is operating: on and in contact with the underlying surface when the reflected light beam received by the image sensor is located on a first set of pixels of the image sensor, and above and not in contact with the underlying surface when the reflected light beam is located on a second set of pixels of the plurality of pixels of the image sensor.

Abstract: A system including a first device with a surface and an identification feature that includes or encodes machine-readable data related to the surface, and a second device including a sensor and one or more processors coupled to the sensor that are configured to determine a relative displacement of the second device as it is moved along the surface of the first device. The second device receives the machine-readable data related to the surface from the identification features from the first device and configures the second device to determine the relative displacement along the surface differently (e.g., improves displacement tracking) based on the machine-readable data related to the surface.

Abstract: A computer peripheral device (e.g., a computer mouse) includes an optical sensor configured to generate optical data corresponding to a surface that the computer peripheral device is placed upon and a processor(s) configured to determine, based on the optical data, a relative displacement of the computer peripheral device along the surface, identify one or more characteristics of the surface based on the optical data; compare the one or more characteristics with one or more corresponding baseline characteristics stored in memory; classify, based on the comparing of the one or more characteristics with one or more corresponding baseline characteristics, a type of the surface; and adjust, based on the classified type of the surface, an aspect of the determination of the relative displacement of the peripheral device or an operation of the optical sensor that alters the generating of the optical data.

Abstract: In certain embodiments, an input device includes a housing, a processor disposed in the housing, and an image sensor to track a movement of the input device with respect to an underlying surface. The image sensor includes a pixel array and operates in two modes of operation including a first mode of operation where the processor causes the image sensor to utilize a first plurality of pixels in the pixel array when tracking the movement of the input device or a second mode of operation where the processor causes the image sensor to utilize a second plurality of pixels in the pixel array when tracking the movement of the input device, where the second plurality of pixels has fewer pixels than the first plurality of pixels.

Abstract: Methods and systems for determining a displacement of a peripheral device are provided. In one example, a peripheral device comprises: an image sensor, and a hardware processor configured to: control the image sensor to capture a first image of a surface when the peripheral device is at a first location on the surface, the first image comprising a feature of the first location of the surface; execute a trained machine learning model using data derived from the first image to estimate a displacement of the feature between the first image and a reference image captured at a second location of the surface; and determine a displacement of the peripheral device based on the estimated displacement of the feature.

Abstract: In certain embodiments, an input device includes a housing, a processor disposed in the housing, and an image sensor to track a movement of the input device with respect to an underlying surface. The image sensor includes a pixel array and operates in two modes of operation including a first mode of operation where the processor causes the image sensor to utilize a first plurality of pixels in the pixel array when tracking the movement of the input device or a second mode of operation where the processor causes the image sensor to utilize a second plurality of pixels in the pixel array when tracking the movement of the input device, where the second plurality of pixels has fewer pixels than the first plurality of pixels.

Abstract: Methods and systems for determining a displacement of a peripheral device are provided. In one example, a peripheral device comprises: an image sensor, and a hardware processor configured to: control the image sensor to capture a first image of a surface when the peripheral device is at a first location on the surface, the first image comprising a feature of the first location of the surface; execute a trained machine learning model using data derived from the first image to estimate a displacement of the feature between the first image and a reference image captured at a second location of the surface; and determine a displacement of the peripheral device based on the estimated displacement of the feature.

Abstract: In certain embodiments, an input device includes a housing, a processor disposed in the housing, and an image sensor to track a movement of the input device with respect to an underlying surface. The image sensor includes a pixel array and operates in two modes of operation including a first mode of operation where the processor causes the image sensor to utilize a first plurality of pixels in the pixel array when tracking the movement of the input device or a second mode of operation where the processor causes the image sensor to utilize a second plurality of pixels in the pixel array when tracking the movement of the input device, where the second plurality of pixels has fewer pixels than the first plurality of pixels.

Abstract: A method of operating a computer mouse includes receiving electromagnetic (EM) radiation emitted from a source external to the computer mouse, the received EM radiation induces noise within one or more bands of noise frequencies and an image sensor circuit of the computer mouse generates erroneous movement detection signals in response to an operating frequency of the image sensor circuit being within the one or more bands of noise frequencies. The method further includes determining the operating frequency of the image sensor circuit, comparing the operating frequency to a target frequency, wherein the target frequency is outside of the one or more bands of noise frequencies, and tuning the operating frequency of the image sensor circuit towards the target frequency.