Docket #: S09-343
Marker-less Motion Capture with Time-Of-Flight Sensors on Parallel Processing Hardware
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
Patents
- Published Application: 20110205337
- Issued: 8,994,790 (USA)
Similar Technologies
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Touch-Free Control of Devices S10-148Touch-Free Control of Devices
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Detecting and Classifying Body Parts and Gestures in Range Images S09-369Detecting and Classifying Body Parts and Gestures in Range Images
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Ergonomic Touch-Free User Interfaces S10-147Ergonomic Touch-Free User Interfaces