Abstract: Blended operator and autonomous control in an autonomous vehicle, including: receiving sensor data from a plurality of sensors of an autonomous vehicle; determining, based on the sensor data, a degree of autonomous control for each control input of a plurality of control inputs; and applying the degree of autonomous control for each control input of the plurality of control inputs.

Abstract: Systems and methods are provided for operating a pair of earbuds based whether the earbuds are being worn by the same user or different users. In this regard, one or more processors may determine, based on sensor signals from the pair of earbuds, whether the pair of earbuds are being worn by a same user or different users. Based on determining that the pair of earbuds are being worn by the same user, the pair of earbuds may be operated in a first mode so that one or more functions are controlled based on a first set of input settings. Based on determining that the pair of earbuds are being worn by different users, the pair of earbuds may be operated in a second mode so that the one or more functions of the pair of earbuds are controlled based on a second set of input settings.

Abstract: The present disclosure provides systems and methods for wirelessly coupling one or more accessories with a host device. The one or more accessories may be classified by the host device as primary, saved, or unsaved devices. Primary and saved devices may automatically couple to the host device via a short range wireless communications interface. Thus, the host device may simultaneously be coupled to one or more accessories. The host device may output first content to a first accessory, such as a saved accessory. The host device may receive second content and output the second content to a second accessory while simultaneously outputting the first content to the first accessory.

Abstract: A method that includes employing several sensors associated with a handheld controller, where each of the sensors is made of one of a hover, touch, and force/pressure sensor, and generating, by one or more of the sensors, sensor data associated with the position of a user's hand and finger in relation to the handheld controller. The method continues with combining the sensor data from several sensors to form aggregate sensor data, sending the aggregate sensor data to a processor, and generating an estimated position of the user's hand and fingers based on the aggregate sensor data.

Abstract: A controller configured to control a pointer in a virtual reality environment includes a multi-axis magnetic field sensor, a multi-axis accelerometer, a gyroscope, a touchpad, and a wireless communications circuit. The controller can also include a processor and a memory storing instructions that when executed by the processor, cause the processor to obtain geomagnetic field data from the multi-axis magnetic field sensor, obtain acceleration data describing a direction and a magnitude of force affecting the controller from the multi-axis accelerometer, and obtain angular velocity data describing a rotational position of the controller from the gyroscope. The processor can communicate movement data to a computing device configured to generate a rendering of the virtual reality environment, the movement data describing an orientation of the controller wherein the movement data is based on at least one of the geomagnetic field data, the acceleration data, or the angular velocity data.

Abstract: A method that includes employing several sensors associated with a handheld controller, where each of the sensors is made of one of a hover, touch, and force/pressure sensor, and generating, by one or more of the sensors, sensor data associated with the position of a user's hand and finger in relation to the handheld controller. The method continues with combining the sensor data from several sensors to form aggregate sensor data, sending the aggregate sensor data to a processor, and generating an estimated position of the user's hand and fingers based on the aggregate sensor data.

Abstract: Embodiments described herein may allow for dynamic image processing based on biometric data. An example device may include: an interface configured to receive video data that is generated by an image capture device; an interface configured to receive biometric data of a user of the image capture device from one or more sensors generated synchronously with the video data; and an image processing system configured to apply image processing to the video data to generate edited video data. The image processing may be based, at least in part, on the biometric data.

Abstract: A controller configured to control a pointer in a virtual reality environment includes a multi-axis magnetic field sensor, a multi-axis accelerometer, a gyroscope, a touchpad, and a wireless communications circuit. The controller can also include a processor and a memory storing instructions that when executed by the processor, cause the processor to obtain geomagnetic field data from the multi-axis magnetic field sensor, obtain acceleration data describing a direction and a magnitude of force affecting the controller from the multi-axis accelerometer, and obtain angular velocity data describing a rotational position of the controller from the gyroscope. The processor can communicate movement data to a computing device configured to generate a rendering of the virtual reality environment, the movement data describing an orientation of the controller wherein the movement data is based on at least one of the geomagnetic field data, the acceleration data, or the angular velocity data.

Abstract: Embodiments described herein may allow for dynamic image processing based on biometric data. An example device may include: an interface configured to receive video data that is generated by an image capture device; an interface configured to receive biometric data of a user of the image capture device from one or more sensors generated synchronously with the video data; and an image processing system configured to apply image processing to the video data to generate edited video data. The image processing may be based, at least in part, on the biometric data.

Abstract: Embodiments described herein may allow for dynamic image capture based on biometric data. An example device may include an image-capture device and a control system configured to: cause the image-capture device to capture video data; receive biometric data, which may be generated synchronously with the video data, from one or more sensors; while the image-capture device is capturing video data, control at least one image-capture setting of the image capture device based, at least in part, on the biometric data. The at least one image-capture setting affects the captured video data.

Abstract: The present disclosure provides a wearable computing device. The wearable computing device may include a control system configured to perform functions. The functions may include receiving sensor data from one or more sensors of the wearable computing device. The functions may also include determining whether the sensor data is indicative of humming, singing, or whistling by a wearer. The functions may also include causing the wearable computing device to perform a content recognition of audio content in an ambient environment of the wearable computing device in response to the sensor data being indicative of humming, singing, or whistling by the wearer.