Abstract: It will be understood by those skilled in the art that there is disclosed in the present application a biometric sensor that may comprise a plurality of a first type of signal traces formed on a first surface of a first layer of a multi-layer laminate package; at least one trace of a second type, formed on a second surface of the first layer or on a first surface of a second layer of the multi-layer laminate package; and connection vias in at least the first layer electrically connecting the signal traces of the first type or the signal traces of the second type to respective circuitry of the respective first or second type contained in an integrated circuit physically and electrically connected to one of the first layer, the second layer or a third layer of the multi-layer laminate package.

Abstract: A method and apparatus for image processing. An image scaling circuit is configured to receive image data for a plurality of pixels corresponding to a first image. The image data includes color information and a transparency value for each of the plurality of pixels. The image scaling circuit updates the image data by selectively changing the color information for one or more of the pixels based at least in part on the transparency values. In updating the image data, the image scaling circuit may determine contextual information about the first image based at least in part on the transparency values. The image scaling circuit further generates an interpolated image based on the updated image data for the plurality of pixels. For example, the interpolated image may be a scaled version of the first image.

Abstract: A processing system is disclosed. The processing system includes an amplifier configured to generate a feedback signal, including a spatial common mode estimate generated from spatial-common-mode-processed signals. The processing system further includes charge integrators configured to obtain resulting signals from capacitive sensor electrodes, the resulting signals including a spatial common mode. The charge integrators generate the spatial-common-mode-processed signals by mitigating the spatial common mode in the resulting signals using the feedback signal. The processing system also includes a controller configured to obtain digital touch signals by analog-to-digital converting the spatial-common-mode-processed signals, obtain a digital spatial common mode estimate by analog-to-digital converting the spatial common mode estimate, and obtain at least one digital resulting signal by combining at least one of the digital touch signals with the digital spatial common mode estimate.

Abstract: An end detector configured to receive the feature data and detect an end point of a keyword, and a start detector configured to receive an indication of the detected end point and process the feature data associated with corresponding input frames to detect a start point of the keyword. The start detector and end detector comprise neural networks trained through a process using a cross-entropy cost function for non-Region of Target (ROT) frames and a One-Spike Connectionist Temporal Classification cost function for ROT frames.

Abstract: Methods and devices are disclosed for characterizing user inputs. A first input object may be detected in a sensing region of an input device. A resonance frequency of the first input object may be determined. A first characteristic may be assigned to the first input object based at least in part on the resonance frequency of the first input object. User inputs provided by the first input object may be processed based at least in part on the first input object characteristic.

Abstract: A display driver comprises image processing circuitry and driver circuitry. The image processing circuitry is configured to receive spatial distribution information of a physical quantity related to a display panel. The image processing circuitry is further configured to generate output voltage data by processing input pixel data associated with subpixels of the pixel. The drive circuitry is configured to drive the display panel based on the output voltage data.

Abstract: This disclosure generally provides an input device, electronic systems and processing system for touch sensing. In one example, an input device for touch sensing includes receiver electrodes and transmitter electrodes arranged in transmitter and receiver electrode columns. Each transmitter electrode within each transmitter electrode column is paired with two adjacent receiver electrodes of a first column of the receiver electrode columns. A first plurality of traces couple a first group of receiver electrodes in the first receiver electrode column, the first plurality of traces not passing between the transmitter and receiver electrodes of the first transmitter and receiver electrode columns. A second plurality of traces coupled a second group of receiver electrodes in the first receiver electrode column, the second plurality of traces passing between one of the transmitter electrodes of the first transmitter electrode column and one of the receiver electrodes of the second group of receiver electrodes.

Abstract: A processing system includes a sensor module configured to receive first and second signals from first and second sensor electrodes, respectively, and generate a combination signal. The processing system further includes a determination module configured to determine, using the first sensor electrode, an absolute capacitive coupling to an input object; determine, using the first and second sensor electrodes, a transcapacitive coupling; determine a ratio of the absolute to transcapacitive coupling; determine, using the combination signal, in absence of a predetermined low ground mass state, and when the ratio fails to exceed a predetermined threshold, first positional information regarding a location of the input object; and determine, when the ratio fails to exceed the predetermined threshold and in presence of the predetermined low ground mass state, second positional information regarding the location of the input object in the sensing region using an absolute capacitive scan.

Abstract: A classification training system for binary and multi-class classification comprises a neural network operable to perform classification of input data, a training dataset including pre-segmented, labeled training samples, and a classification training module operable to train the neural network using the training dataset. The classification training module includes a forward pass processing module, and a backward pass processing module. The backward pass processing module is operable to determine whether a current frame is in a region of target (ROT), determine ROT information such as beginning and length of the ROT and update weights and biases using a cross-entropy cost function and One Spike Connectionist Temporal Classification (OSCTC) cost function. The backward pass module further computes a soft target value using ROT information and computes a signal output error using the soft target value and network output value.

Abstract: A voice-activity detector (VAD) system comprises a microphone operable to receive and to process audio inputs from an environment to generate an analog audio input signal. The system further comprises an analog VAD operable to process the analog audio input signal to perform an initial detection of human speech, and operable to send a wake up command to a digital signal processing chain to awaken the digital signal processing chain from a sleep mode, when the analog VAD detects human speech. Further, the system comprises the digital signal processing chain operable to process the analog audio input signal to perform a secondary detection of human speech, and operable to output a signal indicating that human speech is detected, when the digital signal processing chain detects human speech. In one or more embodiments, the secondary detection of human speech is more accurate than the initial detection of human speech.

Abstract: A processing system includes sensor circuitry and processing circuitry. The sensor circuitry is configured to, using the sensor electrodes, obtain capacitive measurements of a sensing region, and obtain a resistance measurement of the sensing region. The processing circuitry is coupled to the sensor circuitry. The processing circuitry is configured to determine a location of an input object using the capacitive measurements of the sensing region; and determine a force value based on the resistance measurement and the location of the input object. Determining the force value mitigates a temperature variation of the sensing region affecting the resistance measurement. The processing circuitry is further configured to report the force value.

Abstract: A display driver is disclosed. The display driver includes: a memory that stores initial control points (CPs) defining a first gamma curve for a first analog state associated with a display panel (DP); CP calculation circuitry that generates, based on the initial CPs, calculated CPs for a second analog state associated with the DP; multiplexer circuitry that: inputs the calculated CPs, auxiliary CPs defining a second gamma curve, and a switching signal identifying a luminance of a region of an image; and outputs, based on the switching signal, selected CPs; and gamma curve calculation circuitry that: inputs a data value associated with the region of the image; generates, based on the selected CPs, a portion of an output gamma curve near the data value; and outputs a voltage data for displaying the region of the image on the DP based on the data value and the output gamma curve.

Abstract: Sensing systems and methods that utilize zero row sum code division multiplexing (CDM) drive matrices to reduce or eliminate radiative emissions. Measurements corresponding to an input received at a sensing region of the input device are obtained by driving a first subset of transmitters of the input device according to a first portion of a CDM drive matrix, wherein the CDM matrix is a zero row sum matrix, and obtaining first measurement signals with the plurality of receivers, and driving a second subset of the transmitters according to a second portion of the CDM drive matrix, wherein the first and second subsets of transmitters include at least one transmitter in common, and obtaining second measurement signals with the plurality of receivers. An image of the input may be generated based on the obtained measurements.

Abstract: An acoustic event detection and classification system includes a start-end point detector and multi-class acoustic event classification. A classification training system comprises a neural network configured to perform classification of input data, a training dataset including pre-segmented, labeled training samples, and a classification training module configured to train the neural network using the training dataset. The classification training module includes a forward pass processing module, and a backward pass processing module. The backward pass processing module is configured to determine whether a current frame is in a region of target (ROT), determine ROT information such as beginning and length of the ROT and update weights and biases using a cross-entropy cost function and a many-or-one detection (MOOD) cost function. The backward pass module further computes a soft target value using ROT information and computes a signal output error using the soft target value and network output value.

Abstract: Systems and methods for audio signal enhancement facilitated using video data are provided. In one example, a method includes receiving a multi-channel audio signal including audio inputs detected by a plurality of audio input devices. The method further includes receiving an image captured by a video input device. The method further includes determining a first signal based at least in part on the image. The first signal is indicative of a likelihood associated with a target audio source. The method further includes determining a second signal based at least in part on the multi-channel audio signal and the first signal. The second signal is indicative of a likelihood associated with an audio component attributed to the target audio source. The method further includes processing the multi-channel audio signal based at least in part on the second signal to generate an output audio signal.

Abstract: A method and apparatus for device personalization. A device is configured to receive first sensor data from one or more sensors, detect biometric information in the first sensor data, encode the biometric information as a first vector using one or more neural network models stored on the device, and configure a user interface of the device based at least in part on the first vector. For example, the profile information may include configurations, settings, preferences, or content to be displayed or rendered via the user interface. In some implementations, the first sensor data may comprise an image of a scene and the biometric information may comprise one or more facial features of a user in the scene.

Abstract: A sensor pattern for capacitive sensing includes a first electrode and a multitude of second electrodes capacitively coupled to the first electrode. The first electrode includes a strip extending in a vertical direction across the sensor pattern. The multitude of second electrodes include a first subset and a second subset. The first subset of the multitude of second electrodes is arranged in a first column, the first column extending in a vertical direction. The second subset of the multitude of second electrodes is arranged in a second column, the second column extending in the vertical direction. The first subset and the second subset of the multitude of electrodes are disposed adjacent to the first electrode on opposing sides of the first electrode.

Abstract: A method for eye tracking is disclosed. The method may include receiving a first image captured by a first camera based at least in part on reflections of light emitted by a light source. The reflections may be partially occluded by an electronic display disposed in front of the first camera. The method may further include detecting an eye of a user in the partially occluded first image and determining a position or orientation of the eye relative to the electronic display.

Abstract: Low power consumption baseline tracking systems and methods for automatically tracking a baseline input into a capacitive sensor having a plurality of transmitter electrodes and a plurality of receiver electrodes. A partial baseline scan is captured by driving all or a portion of the plurality of transmitter electrodes simultaneously and detecting receiver signals from a subset of the at least one receiver electrode simultaneously, and the partial baseline scan is compared with a stored baseline image. When a difference between the captured partial baseline scan and the stored baseline image exceeds a threshold value, a full baseline image scan is acquired, and the stored baseline image is updated.

Abstract: Embodiments described herein provide a combined multi-source time difference of arrival (TDOA) tracking and voice activity detection (VAD) mechanism that is applicable for generic array geometries, e.g., a microphone array that lies on a plane. The combined multi-source TDOA tracking and VAD mechanism scans the azimuth and elevation angles of the microphone array in microphone pairs, based on which a planar locus of physically admissible TDOAs can be formed in the multi-dimensional TDOA space of multiple microphone pairs. In this way, the multi-dimensional TDOA tracking reduces the number of calculations that was usually involved in traditional TDOA by performing the TDOA search for each dimension separately.