Hewlett-packard Development Company, L.p.

Peter Christian Peterson

Raphael Gay

Nathan Barr Nuber

Joseph Nouri

Mark Lessman

Lauren Domingo

Yow-Wei Cheng

Ken Ogden

Andrew David Bodley

Kaden Strand

Kirsten Olsen

Finagnon Thierry Dossou, Jr

Andrew Bodley

A computing device receives a notification from a tracking device that the tracking device has entered a gripped state in which a user has securely gripped the tracking device with a hand of the user. The computing device responsively receives orientation data from the tracking device indicative of an orientation of the tracking device in a tracking device space. The computing device determines an orientation of the hand of the user in a hand tracking space from captured image data of the hand of the user and the tracking device. The computing device generates a transformation matrix to anchor the tracking device space to the hand tracking space. The tracking device resultantly enters an anchored state.

Anchoring tracking device space to hand tracking space

According to aspects of the present disclosure, there are provided methods and apparatus for providing a user characteristics determination module for use with a head-mountable display device, comprising: a biological characteristics handler to determine whether biological sensor data is indicative of a predefined biological characteristic of the user; and determination logic to determine and output a predefined response to the determined biological characteristic of the user.

Interfaces and processes for biological characteristics handling in head-mountable devices

A computing system for collecting hardware performance data includes a number of programmable counters associated with a number of units of a computing device. The computing system further includes an assignment module executed by a processor to assign a plurality of interleaving groups of counters based on a user-defined priority list of parameters.

Collecting hardware performance data

An example system for a performance gains predictor includes a counter engine to determine a number of events during an application session of a computing system utilizing a first processor, a metrics engine to calculate a number of metrics for the first processor based on the number of events, a factor engine to determine a number of factors of the first processor that can affect the number of metrics based on an evaluation of the computing system, and a performance engine to predict a performance change of the computing system utilizing a second processor based on the number of factors.

Performance change predictions

Example implementations relate to calibration data identification. For example, a non-transitory computer readable storage medium comprising instructions that when executed cause a processor of a computing device to, in response to establishing a connection between the computing device and a first electronic device, request descriptor information of a second electronic device connected to the computing device via a universal serial bus (USB) interface of the computing device. The instructions when executed further cause the processor to identify calibration data of a third electronic device connected to the computing device based on the descriptor information and to control the first electronic device using the calibration data. The calibration data is stored at the second electronic device.

Calibration data identification

In example implementations, a method executed by a processor is provided. The method receives a first pen input from first pen and a second pen input from a second pen. The first pen and the second pen interact with a single display. The first pen input and the second pen input are translated into a first output and a second output, respectively, that are executed by an application. The first output and the second output are sent to the application. The application executes the first output and the second output simultaneously.

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Fort Collins, CO, United States of America

Peter Christian Peterson