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Docket #: S10-148

Touch-Free Control of Devices

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 “Touch-Free Control of Devices” invention includes a new sensor modality and algorithms that facilitate a human-machine interaction using 3D visual cues from a camera, without additional devices or touch screens.

Additional Technologies in this Portfolio:
“Marker-less Tracking of Human and Articulating Bodies using Parallel Processing Hardware” (Stanford Docket S09-319)
“Marker-less Motion Capture with Time-of-Flight Sensors on Parallel Processing Hardware” (Stanford Docket S09-343)
“Detecting and Classifying Body Parts and Gestures in Range Images” (Stanford Docket S09-369)
“Ergonomic Touch-Free User Interfaces" (Stanford Docket S10-147)

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

  • Touch-free - no surface has to be touched and no additional input device (such as a mouse, touchpad, or trackball is required)
  • No augmentation of the scene is required (such as wearing a data glove or markers)

Publications

  • Plagemann, Christian, et al. "Method and System for Touch-Free Control of Devices." U.S. Patent Application 13/030,071.

Patents

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