US Patent Application 18214448. SHARED DATA AND COLLABORATION FOR HEAD-MOUNTED DEVICES simplified abstract
Contents
SHARED DATA AND COLLABORATION FOR HEAD-MOUNTED DEVICES
Organization Name
Inventor(s)
Marinus Meursing of Poway CA (US)
David A. Schmuck of Raymore MO (US)
Brian S. Lau of Sacramento CA (US)
Jeremy C. Franklin of San Francisco CA (US)
SHARED DATA AND COLLABORATION FOR HEAD-MOUNTED DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18214448 titled 'SHARED DATA AND COLLABORATION FOR HEAD-MOUNTED DEVICES
Simplified Explanation
- The patent application describes a system that uses multiple head-mounted devices to process views from their respective cameras and identify objects from different perspectives. - The system allows for sharing sensory input between the head-mounted devices, which enhances their individual capabilities by interpreting and reconstructing objects, surfaces, and the external environment from multiple angles and positions. - This collaboration reduces occlusions and inaccuracies in the interpretation of the environment. - By combining the sensory input from multiple devices, the system improves the speed and accuracy of object recognition, hand and body tracking, surface mapping, and digital reconstruction. - The collaboration between the head-mounted devices enables more effective and efficient mapping of space, surfaces, objects, gestures, and users.
Original Abstract Submitted
A system can include head-mounted devices that collaborate to process views from cameras of the respective head-mounted devices and identify objects from different perspectives and/or objects that are within the view of only one of the head-mounted devices. Sharing sensory input between multiple head-mounted devices can complement and enhance individual units by interpreting and reconstructing objects, surfaces, and/or an external environment with perceptive data from multiple angles and positions, which also reduces occlusions and inaccuracies. As more detailed information is available at a specific moment in time, the speed and accuracy of object recognition, hand and body tracking, surface mapping, and/or digital reconstruction can be improved. Such collaboration can provide more effective and efficient mapping of space, surfaces, objects, gestures and users.
