Microsoft Technology Licensing, LLC

Andrew C Flavell

Shipeng Li

Feng Wu

Yan Lu

Wen Sun

Daniel Gilbert Kennett

David C Mccarthy

Daniel G Kennett

Anis Ahmad

Ben Walker

David C McCarthy

Techniques for dynamic exercise content are described. In implementations, exercise content is provided that includes a variety of different selectable exercise segments that can be individually selected and played back to generate an exercise routine. For example, particular exercise segments can be selected based on user-specified exercise goals, the physical abilities of a particular user, based on various types of feedback, and so on. To assist in the selection of particular exercise segments, exercise segments can be individually tagged with descriptive information, such as using metadata tags. Embodiments can also provide a variety of different types of performance-related feedback to a user during an exercise routine.

Dynamic exercise content

Heartrate tracking is performed entirely optically without the subject being required to wear any monitoring equipment by processing a combination of signals representing frames of video of the sinusoidal motion of a subject's facial skin color changes captured by both IR and visible light (e.g., RGB&#x2014;red/green/blue) cameras. The IR and RGB graphs that result from the processing are perfectly phase-shifted so that when the IR signal is going down in amplitude, the RGB signal is going up. Such phase-shifting enables the optical heartrate tracking to utilize diverse input feeds so that a tracked signal is accepted as the user's true heartrate when both IR and RGB signals are well correlated.

Optical heartrate tracking

A technique is described for compressing textures for use in a graphics application, such as a 3D game application. The technique includes parsing first-compressed texture information (e.g., S3TC texture information) into respective components of the first-compressed texture information (such as main color information, color index information, main alpha information, and alpha index information). The technique then further compresses the respective components to yield second-compressed texture information (referred to as modified compressed texture information or MCT texture information). The MCT texture information can be stored and then decoded to reconstruct the original S3TC texture information for use in the graphics application. Compared to the use of unmodified S3TC texture information, the technique allows more economical storage of texture information, as well as more efficient loading of the texture information from storage to memory.

Strategies for compressing textures

Strategies for lossy compression of textures

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Medina, WA, United States of America

Andrew C Flavell