A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

To make it possible to correct a current position detected by an autonomous traveling work machine to the correct position with a simple configuration. A robot lawn mower includes a first position detecting unit for detecting a current position by using odometry and a second position detecting unit for detecting a current position by using an image capture. When position detection accuracy of both of the first and second position detecting units decreases to less than or equal to a predetermined value, the robot lawn mower is controlled to travel to either of zones Z1 and Z2 in which the position detection accuracy of the second position detecting unit is relatively high, and when the robot lawn mower moves to either of the zones Z1 and Z2, a current position used for autonomous traveling is corrected to the current position detected by the second position detecting unit.

To make it possible to correct a current position detected by an autonomous traveling work machine to the correct position with a simple configuration. A robot lawn mower includes a first position detecting unit for detecting a current position by using odometry and a second position detecting unit for detecting a current position by using an image capture. When position detection accuracy of both of the first and second position detecting units decreases to less than or equal to a predetermined value, the robot lawn mower is controlled to travel to either of zones Z1 and Z2 in which the position detection accuracy of the second position detecting unit is relatively high, and when the robot lawn mower moves to either of the zones Z1 and Z2, a current position used for autonomous traveling is corrected to the current position detected by the second position detecting unit.

A monitoring system for an agricultural sprayer includes a spray nozzle, a pressure sensor, a flow rate sensor, and control circuitry. The spray nozzle is configured to generate a spray of a fluid, the pressure sensor is adjacent to the spray nozzle and is configured to measure a pressure of the fluid sprayed by the spray nozzle, and the flow rate sensor is adjacent to the spray nozzle and is configured to measure a flow rate of the fluid sprayed by the spray nozzle. The control circuitry is configured to receive the measured pressure from the pressure sensor, receive the measured flow rate from the flow rate sensor, and cause a user interface to display the measured pressure and the measured flow rate. Related methods and systems are also disclosed.

A gait motion display system including: a triaxial accelerometer, attached to the subject, that measures acceleration data of a subject in walking; an imaging unit that takes images of the subject in walking to obtain moving image data showing gait motions of the subject; a recording unit that records the acceleration data and the moving image data in synchronization with each other; an identification unit that converts the acceleration data recorded by the recording unit into horizontal displacement data and vertical displacement data, and identifies, from the moving image data, a representative image corresponding to a representative motion in a gait cycle, based on the horizontal displacement data or the vertical displacement data; and a display that displays an image illustration of the representative motion in the gait cycle, with the representative image identified by the identification unit.

A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with the host vehicle; identify a representation of a target object in the first output; and determine whether a characteristic of the target object triggers a navigational constraint. If the navigational constraint is not triggered, the processing device may verify the identification of the representation of the target object based on a combination of the first output and the second output. If the navigational constraint is triggered, the processing device may verify the identification of the representation of the target object based on the first output; and in response to the verification, cause at least one navigational change to the host vehicle.

A method for compensating for the absence of GPS data during a period of GPS signal loss in determining travel mileage of a vehicle includes: detecting vehicle motion using an accelerometer during a period of time in which a GPS tracking device is unable to determine a location of the vehicle due to loss of GPS signal; determining a first location of the vehicle corresponding to the last known GPS location data point stored in memory; determining a second location of the vehicle corresponding to a point at which the GPS signal is reacquired; and calculating the distance between the first and second locations based on a straight-line distance calculation between the first and second locations, or based on the use of geospatial mapping data to plot a roadway route between the first and second locations.

A method for compensating for the absence of GPS data during a period of GPS signal loss in determining travel mileage of a vehicle includes: detecting vehicle motion using an accelerometer during a period of time in which a GPS tracking device is unable to determine a location of the vehicle due to loss of GPS signal; determining a first location of the vehicle corresponding to the last known GPS location data point stored in memory; determining a second location of the vehicle corresponding to a point at which the GPS signal is reacquired; and calculating the distance between the first and second locations based on a straight-line distance calculation between the first and second locations, or based on the use of geospatial mapping data to plot a roadway route between the first and second locations.

A step counting judgment method and device and a computer-readable storage medium are disclosed. The step counting judgment method comprises: acquiring an acceleration dataset corresponding to each axis of an acceleration sensor in a current step counting cycle; determining a characteristic value corresponding to each axis according to the acceleration dataset corresponding to each axis; comparing characteristic values of different axes, and determining that an axis corresponding to a maximum value in the characteristic values is a characteristic axis; judging validity of step counting data according to the characteristic axis and a reference axis; and performing a step counting operation when the step counting data is valid data. Aims to solve the problem of low step counting accuracy of step counting judgment devices, the present disclosure provides the step counting judgment method and device and the computer-readable storage medium.

An example operation includes one or more of determining a distance traveled by a transport using data points from a sensor, determining an error exists with one or more of the data points, correcting the error by the sensor, discarding one or more of the data points when the error is above a threshold or when the error cannot be corrected and determining a minimum reasonable path of the transport using a remaining portion of the data points.