Abstract: Methods and systems for generating physiological metrics for display on a computing device are disclosed herein. In some implementations, an exemplary system comprises a torso wearable device including a wireless transmitter and a sensor, and non-transitory computer-readable media (CRM). The CRM, when executed by a computing device in communication with the wireless transmitter, can perform operations comprising: receiving the input signals representing respiration of the user; displaying a graphical user interface to the user; receiving one or more user inputs associated with a desired metric; displaying on the graphical user interface a first visualization corresponding to the desired metric; and displaying on the graphical user interface a second visualization corresponding to a physiological metric based on the input signals generated from the sensor. The second visualization can change in real time based on real time angular displacement of the sensor in response to the respiration of the user.

Abstract: Methods and systems for generating physiological metrics for display on a computing device are disclosed herein. In some implementations, an exemplary system comprises a torso wearable device including a wireless transmitter and a sensor, and non-transitory computer-readable media (CRM). The CRM, when executed by a computing device in communication with the wireless transmitter, can perform operations comprising: receiving the input signals representing respiration of the user; displaying a graphical user interface to the user; receiving one or more user inputs associated with a desired metric; displaying on the graphical user interface a first visualization corresponding to the desired metric; and displaying on the graphical user interface a second visualization corresponding to a physiological metric based on the input signals generated from the sensor. The second visualization can change in real time based on real time angular displacement of the sensor in response to the respiration of the user.

Abstract: Methods and systems for generating physiological metrics for display on a computing device are disclosed herein. In some implementations, an exemplary system comprises a torso wearable device including a wireless transmitter and a sensor, and non-transitory computer-readable media (CRM). The CRM, when executed by a computing device in communication with the wireless transmitter, can perform operations comprising: receiving the input signals representing respiration of the user; displaying a graphical user interface to the user; receiving one or more user inputs associated with a desired metric; displaying on the graphical user interface a first visualization corresponding to the desired metric; and displaying on the graphical user interface a second visualization corresponding to a physiological metric based on the input signals generated from the sensor. The second visualization can change in real time based on real time angular displacement of the sensor in response to the respiration of the user.

Abstract: Provided is a lawn mower for forming images. The lawn mower includes: an image input unit receiving an image to be formed in a lawn area; a position detection unit detecting position information of the lawn mower on a movement path of the lawn mower; a lawn mowing unit processing a lawn according to any one of a plurality of lawn processing patterns which corresponds to each position on the movement path while the lawn mower moves along the movement path; and a control unit analyzing the image received from the image input unit, determining a lawn processing pattern, which corresponds to the position information detected by the position detection unit, to express the image in the lawn area and controlling the lawn mowing unit according to the determined lawn processing pattern and independently of the movement path.

Abstract: Provided is a lawn mower for forming images. The lawn mower includes: an image input unit receiving an image to be formed in a lawn area; a position detection unit detecting position information of the lawn mower on a movement path of the lawn mower; a lawn mowing unit processing a lawn according to any one of a plurality of lawn processing patterns which corresponds to each position on the movement path while the lawn mower moves along the movement path; and a control unit analyzing the image received from the image input unit, determining a lawn processing pattern, which corresponds to the position information detected by the position detection unit, to express the image in the lawn area and controlling the lawn mowing unit according to the determined lawn processing pattern and independently of the movement path.

Abstract: Systems are able to reduce or remove slowly-varying drift errors, such as heading errors, rate of rotation errors, and direction of travel errors, to correct the measurements from tracking devices. The systems may be used to remove the slow varying drift errors for gyroscopic tracking device sensors, or other types of sensors used for determining heading, rates of rotation, direction of travel, or position. The systems may be employed in personal dead reckoning systems, or other personnel tracking device, as well as in vehicle tracking devices. The system uses heuristic assumptions to correct for these drift errors, via a feedback loop control having an accumulator responsive to changes in output signals. The accumulator is able to produce a signal that over time compensates for the inherent drift errors on those output signals.