Examples of the disclosure describe systems and methods for presenting virtual content on a wearable head device. In some embodiments, a state of a wearable head device is determined by minimizing a total error based on a reduced weight associated with a reprojection error. A view reflecting the determined state of the wearable head device is presented via a display of the wearable head device. In some embodiments, a wearable head device calculates a preintegration term based on the image data received via a sensor of the wearable head device and the inertial data received via a first IMU and a second IMU of the wearable head device. The wearable head device estimates a position of the device based on the preintegration term, and the wearable head device presents the virtual content based on the position of the device.

Examples of the disclosure describe systems and methods for presenting virtual content on a wearable head device. In some embodiments, a state of a wearable head device is determined by minimizing a total error based on a reduced weight associated with a reprojection error. A view reflecting the determined state of the wearable head device is presented via a display of the wearable head device. In some embodiments, a wearable head device calculates a preintegration term based on the image data received via a sensor of the wearable head device and the inertial data received via a first IMU and a second IMU of the wearable head device. The wearable head device estimates a position of the device based on the preintegration term, and the wearable head device presents the virtual content based on the position of the device.

The performance of an individual is monitored based on measurements of a conformal sensor device. An example system includes a communication module to receive data indicative of a measurement of at least one sensor component of the conformal sensor device. The sensor component obtains measurement of acceleration data representative of an acceleration proximate to the portion of the individual. A comparison of a parameter computed based on the sensor component measurement to a preset performance threshold value provides an indication of the performance of the individual.

The performance of an individual is monitored based on measurements of a conformal sensor device. An example system includes a communication module to receive data indicative of a measurement of at least one sensor component of the conformal sensor device. The sensor component obtains measurement of acceleration data representative of an acceleration proximate to the portion of the individual. A comparison of a parameter computed based on the sensor component measurement to a preset performance threshold value provides an indication of the performance of the individual.

Driving behavior for a particular driver may be gathered and analyzed over a time period, such as a year or a duration of the driver's employment at a particular employer. The driving behavior is received by a server from a positioning device as multiple streams of position data at different time stretches throughout the time period, each stream of position data associated with a route of a plurality of routes driven by at least one vehicle. The server generates speed data from the streams of position data and compares the speed data to retrieved speed limit data for those routes. The server generates a report with at least a speeding percentage value corresponding to how often the driver was speeding while driving during the time period. The report is then sent to the driver's computing device.

A motion measurement apparatus according to an embodiment of the present technology includes a detector unit, a controller unit, and an output unit. The detector unit is to be attached to a detection target and detects velocity-related information, the velocity-related information being related to temporal changes in velocities in three-axis directions of the detection target being in motion in a space. The controller unit extracts a motion feature amount including one or a plurality of kinematic physical quantities of the detection target on the basis of the velocity-related information. The output unit generates a perceivable measurement signal that changes depending on the motion feature amount.

Various embodiments of the invention allow for improving measurement accuracy of monitoring devices, for example, to accurately determine speed from motion data measured by an accelerometer. In certain embodiments, this is accomplished by applying a classification process that resembles a random forest classification to recorded sample data to detect similarities to features associated with data for a known speed type, classifying sample data into speed types, and finally averaging the speed types to obtain a high accuracy estimate value for a final speed.

Disclosed are a correlation coefficient correction method, a correlation coefficient correction apparatus, and a program, capable of improving estimation accuracy of a walking velocity or a stride of a moving object, and an exercise analysis method capable of analyzing a user's exercise with high accuracy. In one aspect, the correlation coefficient correction method includes calculating a reference velocity by using a detection result in a first sensor, calculating characteristic information regarding walking of a moving object by using a detection result in a second sensor mounted on the moving object, and correcting a correlation coefficient in a correlation expression indicating a correlation between the characteristic information and a walking velocity or a stride of the moving object by using the reference velocity.

Disclosed are a correlation coefficient correction method, a correlation coefficient correction apparatus, and a program, capable of improving estimation accuracy of a walking velocity or a stride of a moving object, and an exercise analysis method capable of analyzing a user's exercise with high accuracy. In one aspect, the correlation coefficient correction method includes calculating a reference velocity by using a detection result in a first sensor, calculating characteristic information regarding walking of a moving object by using a detection result in a second sensor mounted on the moving object, and correcting a correlation coefficient in a correlation expression indicating a correlation between the characteristic information and a walking velocity or a stride of the moving object by using the reference velocity.

An electronic speed detection system is provided. The electronic speed detection system includes an accelerometer coupled to a moving object and a hybrid altimeter, which includes a first pressure sensor coupled to the moving object and a second pressure sensor. The electronic speed detection system also includes a controller comprising a memory and a processor. The memory storing computer program instructions executable by the processor to cause the electronic speed detection system to determine a normalized position based on first inputs received from the hybrid altimeter, or determine a corrected velocity position based on a second input received from the accelerometer and the normalized position.