Abstract: A static lens system is disclosed and includes the following in one embodiment: a lens assembly housing defining a front opening; an imaging sensor; a lens assembly disposed within the lens assembly housing and comprising: first, second, third, fourth, fifth and sixth lens elements, the sixth lens element being adjacent to the imaging sensor and the first lens element being adjacent to the front opening; wherein the first through third and sixth lens elements are concave lenses have a negative focal length and the fourth and fifth lens elements are concave lens and have a positive focal length.

Abstract: A method can include determining, by a head-mounted device, that a user is looking at a first electronic device; determining that the user made a predefined gesture; determining content that was presented by the first electronic device when the user made the predefined gesture; and instructing a second electronic to present the content that was presented by the first electronic device when the user made the predefined gesture.

Abstract: High performance flexible lithium-sulfur flexible energy storage devices include a flexible lithium metal anode for an energy storage device comprising an electrically conducting fabric functionalised with a 3D hierarchical MnO2 nanosheet lithiophilic material; a flexible graphene/sulfur cathode protected by a FBN/G interlayer; and a flexible separator for an energy storage device, wherein the separator comprises one or more microporous films of Li ion selective permeable polyolefin material wherein at least a portion of the pores of the film are associated with nanoporous polysulfone polymer positioned between the anode and the cathode.

Abstract: A method can include determining, by a head-mounted device, that a user is looking at a first electronic device; determining that the user made a predefined gesture; determining content that was presented by the first electronic device when the user made the predefined gesture; and instructing a second electronic to present the content that was presented by the first electronic device when the user made the predefined gesture.

Abstract: An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

Abstract: A physiological condition determination system and method can include: attaching a tag to animal tissue; emitting light into the animal tissue; detecting a first optical signal; extracting a first measurement of peripheral capillary oxygen saturation from the first optical signal; qualifying the first measurement of peripheral capillary oxygen saturation as a baseline; detecting a second optical signal with the optical sensor; extracting a second measurement of peripheral capillary oxygen saturation from the second optical signal; qualifying the second measurement of peripheral capillary oxygen saturation; storing the second measurement of peripheral capillary oxygen saturation as a tag feature set; storing a history; determining animal distress based on the difference between the second measurement of peripheral capillary oxygen saturation and the baseline; and sending an instruction to the tag.

Abstract: A static lens system is disclosed and includes the following in one embodiment: a lens assembly housing defining a front opening; an imaging sensor; a lens assembly disposed within the lens assembly housing and comprising: first, second, third, fourth, fifth and sixth lens elements, the sixth lens element being adjacent to the imaging sensor and the first lens element being adjacent to the front opening; wherein the first through third and sixth lens elements are concave lenses have a negative focal length and the fourth and fifth lens elements are concave lens and have a positive focal length.

Abstract: An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

Abstract: An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

Abstract: A physiological condition determination system and method can include: attaching a tag to animal tissue; emitting light into the animal tissue; detecting a first optical signal; extracting a first measurement of peripheral capillary oxygen saturation from the first optical signal; qualifying the first measurement of peripheral capillary oxygen saturation as a baseline; detecting a second optical signal with the optical sensor; extracting a second measurement of peripheral capillary oxygen saturation from the second optical signal; qualifying the second measurement of peripheral capillary oxygen saturation; storing the second measurement of peripheral capillary oxygen saturation as a tag feature set; storing a history; determining animal distress based on the difference between the second measurement of peripheral capillary oxygen saturation and the baseline; and sending an instruction to the tag.

Abstract: An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

Abstract: An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

Abstract: A processing apparatus including one or more processors and memory obtains one or more sensor measurements generated by one or more monitoring sensors of one or more devices, including one or more monitoring sensor measurements from a respective monitoring sensor of a respective device and obtains one or more system signals including a respective system signal corresponding to current operation of the respective device. The processing apparatus determines device context information for the respective device based on the one or more sensor measurements and the one or more system signals and adjusts operation of the device in accordance with the device context information.

Abstract: An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

Abstract: A computer system stores calibration information corresponding to respective sets of sensor measurements associated with respective operating environments. After storing, in a first data structure, calibration information for a first operating environment, the system determines a current operating environment of the device. When the current operating environment of the device is consistent with the first operating environment and the calibration information for the first operating environment meets predefined measurement diversity criteria, the system calibrates at least one sensor for the first operating environment using the stored calibration information for the first operating environment. When the current operating environment of the device is inconsistent with the first operating environment, the system excludes the stored calibration information for the first operating environment when calibrating one or more sensors for the current operating environment.

Abstract: A system and method for determining an attitude of a device undergoing dynamic acceleration is provided. A first attitude measurement may be calculated based on a magnetic field measurement received from a magnetometer of the device and a first acceleration measurement received from a first accelerometer of the device. A second attitude measurement can be calculated based on the magnetic field measurement received from the magnetometer and a second acceleration measurement received from a second accelerometer of the device. A correction factor, calculated based on a difference between the two attitude measurements, can be applied to the first attitude measurement to produce a corrected device attitude measurement. The device can be a headset having two sets of in-the-ear and behind-the-ear microphones, a digital signal processor, and a communications interface. The device may comprise two hearing aids, each having multiple microphones, configured to wirelessly intercommunicate.

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.

Abstract: A system and a method for determining an attitude of a device undergoing dynamic acceleration is presented. A first attitude measurement is calculated based on a magnetic field measurement received from a magnetometer of the device and a first acceleration measurement received from a first accelerometer of the device. A second attitude measurement is calculated based on the magnetic field measurement received from the magnetometer of the device and a second acceleration measurement received from a second accelerometer of the device. A correction factor is calculated based at least in part on a difference of the first attitude measurement and the second attitude measurement. The correction factor is then applied to the first attitude measurement to produce a corrected attitude measurement for the device.

Abstract: A system, a non-transitory computer readable storage medium including instructions, and a method for adjusting a displayed user interface in accordance with a navigational state of a human interface device. For each measurement epoch, a base set of operations are performed, including: determining an unmodified user interface state in accordance with the navigational state, and generating current user interface data. Upon detecting an error introducing state, additional operations are performed, including: determining a modified user interface state; adjusting the current user interface data in accordance with the modified user interface state; and determining a user interface state error. Upon detecting an error compensating state, additional operations are performed, including: determining a compensation adjustment and adjusting the current user interface data and user interface state error in accordance with the compensation adjustment.

Abstract: An electronic device with one or more processors and memory detects a button press of a respective button of a plurality of buttons that include a first button that corresponds to a first type of operation and a second button that corresponds to a second type of operation. The device determines, in conjunction with detecting the button press, a rolling gesture metric corresponding to performance of a rolling gesture comprising rotation about a longitudinal axis of the electronic device. After determining the rolling gesture metric, when the respective button is the first button, the device initiates performance, in a respective user interface, of an operation of the first type in accordance with the rolling gesture metric and when the respective button is the second button, the device initiates performance, in the respective user interface, of an operation of the second type in accordance with the rolling gesture metric.