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Marker-less Motion Capture with Time-Of-Flight Sensors on Parallel Processing Hardware


Stanford Reference:

09-343


Abstract


A team of researchers from the Stanford Artificial Intelligence Laboratory have developed a portfolio of patented innovations that harness depth sensing technology to analyze human motion for touch-free control of devices and motion capture. This marker-less motion capture invention uses parallel processing processors (such as a programmable GPU) to efficiently solve high-dimensional perception problems and enable real-time detection and tracking of motion.

Additional Technologies in this Portfolio:
"Marker-less Tracking of Human and Articulating Bodies using Parallel Processing Hardware" (Stanford Docket S09-319)
"Detecting and Classifying Body Parts and Gestures in Range Images" (Stanford Docket S09-369)
"Ergonomic Touch-Free User Interfaces" (Stanford Docket S10-147)
"Touch –Free Control of Devices" (Stanford Docket S10-148)

Applications


  • Human-machine interface for touch free interactions with devices such as:
    • computers - web-browsing, data entry
    • television - gesture-based remote controls
    • smart phones
    • gaming consoles
  • Motion capture for:
    • animation
    • task demonstration and teaching for industrial and robotic applications
    • rehabilitation and athletics
  • Surveillance and security

Advantages


  • Requires only one camera
  • Requires no marking of the articulated body
  • High precision, even under real-time constraints

Publications


  • Ganapathi, Hariraam Varun, Christian Theobalt, and Sebastian Thrun. "Motion capture with low input data constraints" US Patent 8,994,790

Related Web Links



Innovators & Portfolio



Patent Status



Date Released

 8/27/2012
 

Licensing Contact


Imelda Oropeza, Licensing Associate
650-725-9039 (Business)
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Related Keywords


computer interface   3d graphics   3d animation   computer: virtual reality   controller   depth sensing   digital media   electronic game   electronic media   entertainment   gaming   gesture recognition   home entertainment   human-machine interface   image processing   media   motion capture   Motion detection   motion sensors   multimedia   remote control   robotics   video game   Virtual worlds   virtualization   
 

   

  

Also of Interest...
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S09-343 Marker-less Motion Capture with Time-Of-Flight Sensors on Parallel Processing Hardware