Abstract: The technology provides for an electronic device with gesture detection. In this regard, the device may include a housing, and one or more sensors positioned along an inner periphery of the housing. The sensors may be adapted to detect user interaction with an outer surface of the housing. The device may further include one or more processors in communication with the plurality of sensors.

Abstract: The technology provides for a pair of earbuds. For instance, a first earbud and a second earbud may each include one or more sensors. The pair of earbuds may further include one or more processors configured to receive one or more first sensor signals from a first sensor in the first earbud and one or more second sensor signals from a second sensor in the second earbud. The one or more processors may compare the first sensor signals with the second sensor signals. Based on the comparison, the one or more processors may detect whether the first earbud and the second earbud are being worn by different users. Based on detecting that the first earbud and the second earbud are being worn by different users, the one or more processors may control the first earbud and the second earbud to use a shared mode.

Abstract: The technology provides for an electronic device with gesture detection. In this regard, the device may include a housing, and one or more sensors positioned along an inner periphery of the housing. The sensors may be adapted to detect user interaction with an outer surface of the housing. The device may further include one or more processors in communication with the plurality of sensors.

Abstract: The technology provides for an electronic device with gesture detection. In this regard, the device may include a housing, and one or more sensors positioned along an inner periphery of the housing. The sensors may be adapted to detect user interaction with an outer surface of the housing. The device may further include one or more processors in communication with the plurality of sensors. The one or more processors may be configured to determine the user interaction and to determine a type of gesture based on the detected user interaction, determine a type of input command based on the determined gesture, and execute a task corresponding to the determined type of input command.

Abstract: The technology provides for a pair of earbuds. For instance, a first earbud and a second earbud may each include one or more sensors. The pair of earbuds may further include one or more processors configured to receive one or more first sensor signals from a first sensor in the first earbud and one or more second sensor signals from a second sensor in the second earbud. The one or more processors may compare the first sensor signals with the second sensor signals. Based on the comparison, the one or more processors may detect whether the first earbud and the second earbud are being worn by different users. Based on detecting that the first earbud and the second earbud are being worn by different users, the one or more processors may control the first earbud and the second earbud to use a shared mode.

Abstract: The technology provides for a pair of earbuds. For instance, a first earbud and a second earbud may each include one or more sensors. The pair of earbuds may further include one or more processors configured to receive one or more first sensor signals from a first sensor in the first earbud and one or more second sensor signals from a second sensor in the second earbud. The one or more processors may compare the first sensor signals with the second sensor signals. Based on the comparison, the one or more processors may detect whether the first earbud and the second earbud are being worn by different users. Based on detecting that the first earbud and the second earbud are being worn by different users, the one or more processors may control the first earbud and the second earbud to use a shared mode.

Abstract: The technology provides for an electronic device with gesture detection. In this regard, the device may include a housing, and one or more sensors positioned along an inner periphery of the housing. The sensors may be adapted to detect user interaction with an outer surface of the housing. The device may further include one or more processors in communication with the plurality of sensors. The one or more processors may be configured to determine the user interaction and to determine a type of gesture based on the detected user interaction, determine a type of input command based on the determined gesture, and execute a task corresponding to the determined type of input command.

Abstract: The technology provides for a pair of earbuds. For instance, a first earbud and a second earbud may each include one or more sensors. The pair of earbuds may further include one or more processors configured to receive one or more first sensor signals from a first sensor in the first earbud and one or more second sensor signals from a second sensor in the second earbud. The one or more processors may compare the first sensor signals with the second sensor signals. Based on the comparison, the one or more processors may detect whether the first earbud and the second earbud are being worn by different users. Based on detecting that the first earbud and the second earbud are being worn by different users, the one or more processors may control the first earbud and the second earbud to use a shared mode.

Abstract: Systems and methods for performing personalized operations of a mobile device are provided. An example method includes determining a sensor signature has been received. The sensor signature may be a combination of acoustic and non-acoustic inputs. A classification or recognition or matching score for the received sensor signature may be calculated. A context associated with one or more of the operations of the mobile device may be determined. A confidence level or weight may be determined for the acoustic and non-acoustic inputs based on the context. Based on the confidence level or weight, a determination may be made whether to perform the one or more operations. The determination whether to perform the one or more operations may be further based on a combination of the confidence level or weight and the score. Determining the context can include identifying the type and level of noise associated with the mobile device's environment.

Abstract: A processing apparatus including one or more processors and memory determines a first context of a first user at a first location in a physical space based on sensor measurements from one or more sensors of a set of one or more devices coupled to the first user and detects movement of the first user to a second location in the physical space based on sensor measurements from one or more sensors of the devices. The processing apparatus determines a second context of the first user at the second location based on sensor measurements from one or more sensors of the devices and generates, based on the first context, the second context, and the movement of the user from the first location to the second location, a first mapping of the physical space that includes information corresponding to a spatial relationship between the first context and the second context.

Abstract: Systems and methods for performing personalized operations of a mobile device are provided. An example method includes determining a sensor signature has been received. The sensor signature may be a combination of acoustic and non-acoustic inputs. A classification or recognition or matching score for the received sensor signature may be calculated. A context associated with one or more of the operations of the mobile device may be determined. A confidence level or weight may be determined for the acoustic and non-acoustic inputs based on the context. Based on the confidence level or weight, a determination may be made whether to perform the one or more operations. The determination whether to perform the one or more operations may be further based on a combination of the confidence level or weight and the score. Determining the context can include identifying the type and level of noise associated with the mobile device's environment.

Abstract: A processing apparatus, optionally integrated into a device having a plurality of sensors including a magnetometer, generates navigational state estimates for the device. The processing apparatus has a magnetometer-assisted mode of operation in which measurements from the magnetometer are used to estimate the navigational state and an alternate mode of operation in which the navigational state of the device is estimated without measurements from the magnetometer. For a respective time period, the processing apparatus operates in the alternate mode of operation. During the respective time period, the processing apparatus collects a plurality of magnetometer measurements and determines whether they meet measurement-consistency requirements. If the measurements meet the measurement-consistency requirements, the processing apparatus transitions to the magnetometer-assisted mode of operation.