Patent application number | Description | Published |
20100057454 | SYSTEM AND METHOD FOR ECHO CANCELLATION - An echo canceller for improved recognition and removal of an echo from a communication device. The echo canceller can dynamically reduce echo using an improved energy estimator and an improved adaptive filter. The improved energy estimator can determine if conversation is in a single talk period or a double talk period based on the combined energy of both the near end background noise and speech. The improved adaptive filter can reduce echo by dynamically changing adaptation speed or step size. In double talk, the adaptive filter(s) can dynamically slow-down or stop adaptation. In single talk, the filter can dynamically increase the speed of adaptation to improve accuracy, or decrease adaptation speed for stability. | 03-04-2010 |
20100135483 | SYSTEMS AND METHODS FOR DOUBLE-TALK DETECTION IN ACOUSTICALLY HARSH ENVIRONMENTS - A communications device that is configured to detect double talk is described. An echo canceller is configured to cancel an echo from an input signal using an adaptive filter. A double-talk detector provides a double-talk statistic. The double-talk statistic is proportional to the ratio of the remaining echo energy in the cancellation error signal and the total cancellation error energy. | 06-03-2010 |
20140003635 | AUDIO SIGNAL PROCESSING DEVICE CALIBRATION | 01-02-2014 |
20140254816 | CONTENT BASED NOISE SUPPRESSION - Apparatus and methods for audio noise attenuation are disclosed. An audio signal analyzer can determine whether an input audio signal received from a microphone device includes a noise signal having identifiable content. If there is a noise signal having identifiable content, a content source is accessed to obtain a copy of the noise signal. An audio canceller can generate a processed audio signal, having an attenuated noise signal, based on comparing the copy of the noise signal to the input audio signal. Additionally or alternatively, data may be communicated on a communication channel to a separate media device to receive at least a portion of the copy of the noise signal from the separate media device, or to receive content-identification data corresponding to the content source. | 09-11-2014 |
20140328490 | MULTI-CHANNEL ECHO CANCELLATION AND NOISE SUPPRESSION - A method for multi-channel echo cancellation and noise suppression is described. One of multiple echo estimates is selected for non-linear echo cancellation. Echo notch masking is performed on a noise-suppressed signal based on an echo direction of arrival (DOA) to produce an echo-suppressed signal. Non-linear echo cancellation is performed on the echo-suppressed signal based, at least in part, on the selected echo estimate. | 11-06-2014 |
Patent application number | Description | Published |
20160070380 | FORMING WEARABLE PODS AND DEVICES INCLUDING METALIZED INTERFACES - Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, a wearable pod and/or device and processes to form the same facilitate implementation of a touch-sensitive interface in association with a predominately opaque surface. According to an embodiment, a wearable pod includes a first pod cover, a cradle including attachment points, and a touch-sensitive detector disposed in the cradle and configured to detect a change in capacitance to a range of capacitance values. Further, the wearable pod may include a second pod cover and an isolation belt to electrically isolate at least a portion of a pod cover from the other pod cover. | 03-10-2016 |
20160070403 | WEARABLE PODS AND DEVICES INCLUDING METALIZED INTERFACES - Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, a wearable pod and/or device and processes to form the same facilitate implementation of a touch-sensitive interface in association with a predominately opaque surface. According to an embodiment, formation of a wearable pod includes detecting a capacitance value at a pod cover portion, determining a mode of operation based on a capacitance value, receiving subsets of sensor data, and selecting a subset of sensor data based on a mode of operation. The method can include determining values of at least one physiological signal and identifying a subset of light sources to emit light through an arrangement of micro-perforations constituting symbols indicative of the values of the physiological signal. | 03-10-2016 |
20160072177 | ANTENNAS AND METHODS OF IMPLEMENTING THE SAME FOR WEARABLE PODS AND DEVICES THAT INCLUDE METALIZED INTERFACES - Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to antenna structures and formation methods for a wearable pod and/or device implementing a touch-sensitive interface in a metal pod cover. According to an embodiment, formation of a wearable pod includes selecting an antenna having a first surface area that extends beyond a second surface area associated with an attachment portion a cradle for a wearable pod. The method also includes forming an under-anchor portion composed of an interface material configured to bind to the cradle and to an elastomer, and disposing the antenna on a surface of the under-anchor portion at a distance from the second surface area associated with the attachment portion. Also, the method can include forming an over-anchor portion. | 03-10-2016 |
20160072554 | NEAR-FIELD ANTENNAS AND METHODS OF IMPLEMENTING THE SAME FOR WEARABLE PODS AND DEVICES THAT INCLUDE METALIZED INTERFACES - Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to near-field antenna structures and formation methods for a wearable pod and/or device implementing a touch-sensitive interface in a metal pod cover. According to an embodiment, forming a wearable pod includes selecting a cradle having an attachment portion, forming an anchor portion to bind to the cradle and to an elastomer. The anchor portion includes a channel to provide support. Further, the method includes selecting an antenna having a width dimension sized less than a width dimension of the channel, disposing a portion of the antenna in the channel, and implementing terminals of the antenna coupled to circuitry of a near-field communication device. | 03-10-2016 |
Patent application number | Description | Published |
20150297145 | Physiological information generation based on bioimpedance signals - Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a wearable device and method includes determining a drive current signal magnitude for a bioimpedance signal to capture data representing a physiological-related component, and selecting the drive current signal magnitude as a function of an impedance of a tissue. Further, the method can include driving the bioimpedance signal to that are configured to convey the bioimpedance signal to the tissue. Also, the method can receive the sensor signal from the tissue, adjust a gain for an amplifier, and apply the gain to data representing the physiological-related component. The method can include generating an amplified signal to include a portion of the physiological-related signal component that includes data representing a physiological characteristic. | 10-22-2015 |
20150359491 | Physiological characteristic determination based on signal correlation - Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a method includes receiving an amplified signal including a portion of the physiological-related signal component including data representing a physiological characteristic, the amplified signal being derived from bioimpedance signal based on an impedance value of a tissue, and identifying a magnitude of a portion of the physiological-related signal component. Also, the method can compare the magnitude of the portion against another magnitude of a data model (e.g., in a time-domain) to form a matched value. Also, the method can determine a confidence indicator value representative of a degree of likelihood that the matched value is representative of the physiological characteristic, and determining a value of the physiological characteristic based on the matched value and the confidence indicator value. | 12-17-2015 |
20160066857 | Device-Based Activity Classification Using Predictive Feature Analysis - Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor configured to measure a heart rate coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data associated with the heart rate, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate the data to identify a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, the application also being configured to evaluate other data from another signal, the signal being configured to detect a respiration rate, and processing the data and the other data using the application and the feature interpreter to generate information associated with sleep, the information being configured to display on an interface associated with the device. | 03-10-2016 |
20160066858 | Device-based activity classification using predictive feature analysis - Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state, the information being configured to display on an interface associated with the device. | 03-10-2016 |
20160066859 | Device-based activity classification using predictive feature analysis - Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to detect the signal over a time period and to detect motion, evaluating the signal to generate data, the data being used to indicate motion, the data being further evaluated to select a classifier based on whether the motion is detected, activating another sensor coupled to the device, the another sensor being configured to detect another signal that is substantially different than the signal, the another signal being used to generate other data associated with whether the motion is detected, invoking the classifier, the classifier being configured to evaluate a predictive feature to identify a type associated with whether the motion is detected, the predictive feature invoking an application configured to determine the type and a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state associated with whether the motion is detected, the information being configured to display on an interface associated with the device. | 03-10-2016 |
20160070339 | Divice-based activity classification using predictive feature analysis - Device-based activity classification using predictive feature analysis is described, including evaluating an indicator associated with a predictive feature, identifying an application, using the name, to be performed, and invoking the application, the application being configured to interpret the indicator to determine an operation to perform at one or more levels of a protocol stack using data generated from evaluating a signal detected by a sensor, the sensor being coupled to a wearable device, and the application being configured to perform the operation using other data generated from evaluating another signal detected by another sensor, the another sensor being substantially different than the sensor. | 03-10-2016 |
Patent application number | Description | Published |
20110037995 | METHODS AND SYSTEMS FOR PROVIDING DEVICE SPECIFIC PRINT OPTIONS TO REMOTE PRINTING SERVICES - Systems and methods are disclosed for enabling remote printing services to consistently obtain and utilize print capabilities of printing devices across a wide variety of connection topologies. A client device retrieves the print capabilities from one or more printing devices selected for printing a document. The document and the print capabilities are transmitted to a web print service for rending the document. The web print service generates a print job based on the document and the print capabilities of the printing device selected for printing the document. The web print service provides the print job to the selected printing device for subsequent printing. | 02-17-2011 |
20110222104 | PRINTER DISCOVERY WITHIN A WEB PAGE - Systems and methods presented herein provide for printer discovery with a webpage such that a client device may print the webpage via a remote printing service. The client device retrieves a webpage with an internet browser. The webpage includes a printer detection module that detects printing devices of one data network and transfers their printing characteristics to a print server in another data network. The printer detection module is accessible through the webpage. The printer detection module allows for the selection of one or more of the printing devices. The client device transfers the webpage (or the URL of the webpage) to the print server to render the webpage for printing on the selected printing device. The print server renders the webpage according to the printing characteristics of the selected printing device and then transfers the rendered webpage to the selected printing device via the client device for printing. | 09-15-2011 |
20110222105 | PRINTING INTERNET INACCESSIBLE WEB CONTENT VIA REMOTE PRINTING SERVICE - Systems and methods presented herein provide for printing, via a remote printing service, Internet content retrieved by a client device. The retrieved Internet content is Internet inaccessible to the remote printing service as it is viewable within a private network (e.g., an Intranet). In one embodiment, a method includes retrieving the webpage from a data network with a client device, transferring a request from the client device to the remote printing service to render the webpage for printing, and receiving a response from the remote printing service indicating that the webpage is inaccessible. The method also includes storing data of the webpage in the client device and transferring the stored webpage data from the client device to the remote printing service for rendering and printing. | 09-15-2011 |
20140139870 | METHODS AND SYSTEMS FOR PROVIDING DEVICE SPECIFIC PRINT OPTIONS TO REMOTE PRINTING SERVICES - Systems and methods are disclosed for enabling remote printing services to consistently obtain and utilize print capabilities of printing devices across a wide variety of connection topologies. A client device retrieves the print capabilities from one or more printing devices selected for printing a document. The document and the print capabilities are transmitted to a web print service for rending the document. The web print service generates a print job based on the document and the print capabilities of the printing device selected for printing the document. The web print service provides the print job to the selected printing device for subsequent printing. | 05-22-2014 |