Virtual world processing device and method

Patent metadata

Field	Value
Publication number	US-9987553-B2
Application number	US-201715429811-A
Country	US
Kind code	B2
Filing date	Feb 10, 2017
Priority date	Jun 25, 2009
Publication date	Jun 5, 2018
Grant date	Jun 5, 2018

Abstract

A virtual world processing apparatus and method. Sensed information, which is information collected by a sensor is inputted. The sensed information is adapted, based on a sensor capability, which is information on capability of the sensor. Accordingly, interoperability between a real world and a virtual world or interoperability between virtual worlds may be achieved.

First claim

What is claimed is:

1. An apparatus for processing a virtual world to enable interoperability between the virtual world and a real world or interoperability between virtual worlds, the apparatus comprising:
a processor configured to:
receive sensed information collected by a sensor from the real world; and
adapt the sensed information, based on sensor capability related to the sensor,
wherein the sensed information comprises:
group ID information that identifies an individual identity of a multi-sensor structure to which the sensor belongs,
sensor ID reference information that identifies the sensor,
linked list that denotes information on link data for grouping a plurality of sensors, and
priority information of another sensed information sharing a same point at an adapting time of the sensed information, and

wherein the sensor capability comprises:
a maximum value and a minimum value of a parameter pertaining to the sensor,
a number of levels measurable by the sensor, between the maximum value and the minimum value,
a sensitivity representing a minimum limit of an input signal for generating an output signal, and
an accuracy representing a degree of closeness of a measured quantity with respect to an actual value.

2. The apparatus of claim 1 , wherein the processor is further configured to:
output the sensed information to control the virtual world.

3. The apparatus of claim 1 , wherein the processor is further configured to:
output the sensed information to control virtual world object information.

4. The apparatus of claim 1 , wherein the sensor capability further comprises at least one selected from:
a unit of a value measured by the sensor;
an offset representing a value added to a base value to obtain an absolute value; and
a signal to noise ratio (SNR).

5. The apparatus of claim 1 , wherein the sensed information further comprises at least one selected from:
identifier (ID) information to recognize individual identity of the sensed information; and
activation state information to determine whether the sensor is in operation.

6. The apparatus of claim 1 , wherein the processor is further configured to receive a sensor adaptation preference for manipulating the sensed information.

7. The apparatus of claim 1 , wherein, when the sensor is a position sensor, the sensed information comprises at least one selected from a timestamp, a position, a unit, a 3-dimensional (3D) position vector, a position on an x-axis, a position on a y-axis, and a position on a z-axis.

8. The apparatus of claim 1 , wherein, when the sensor is a velocity sensor, the sensed information comprises at least one selected from a timestamp, a velocity, a unit, a 3D velocity vector, a velocity on an x-axis, a velocity on a y-axis, and a velocity on a z-axis.

9. The apparatus of claim 1 , wherein, when the sensor is an acceleration sensor, the sensed information comprises at least one selected from a timestamp, an acceleration, a unit, a 3D acceleration vector, an acceleration on an x-axis, an acceleration on a y-axis, and an acceleration on a z-axis.

10. The apparatus of claim 1 , wherein, when the sensor is an orientation sensor, the sensed information comprises at least one selected from a timestamp, an orientation, a unit, a 3D orientation vector, an orientation of an x-axis, an orientation of a y-axis, and an orientation of a z-axis.

11. The apparatus of claim 1 , wherein, when the sensor is an angular velocity sensor, the sensed information comprises at least one selected from a timestamp, an angular velocity, a unit, a 3D angular velocity vector, an angular velocity on an x-axis, an angular velocity on a y-axis, and an angular velocity on a z-axis.

12. The apparatus of claim 1 , wherein, when the sensor is an angular acceleration sensor, the sensed information comprises at least one selected from a timestamp, an angular acceleration, a unit, a 3D angular acceleration vector, an angular acceleration on an x-axis, an angular acceleration on a y-axis, and an angular acceleration on a z-axis.

13. The apparatus of claim 1 , wherein, when the sensor is a motion sensor, the sensed information comprises at least one selected from a position, a velocity, an acceleration, an orientation, an angular velocity, and an angular acceleration.

14. The apparatus of claim 1 , wherein the sensor is an intelligent camera sensor, the sensor capability comprises at least one selected from a feature tracking status, an expression tracking status, a body movement tracking status, a maximum body feature point, a maximum face feature point, a tracked feature, tracked facial feature points, tracked body feature points, a feature type, a facial feature mask, and a body feature mask of the intelligent camera sensor.

15. The apparatus of claim 1 , wherein, when the sensor is an intelligent camera sensor, the sensed information comprises at least one of a facial animation ID, a body animation ID, a face feature, a body feature, and a timestamp.

16. The apparatus of claim 6 , wherein the sensor adaptation preference comprises at least one selected from a face feature tracking on, a body feature tracking on, a facial expression tracking on, a gesture tracking on, a face tracking map, and a body tracking map of the intelligent camera sensor.

17. The apparatus of claim 1 , wherein, when the sensor is a light sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, a color, and a location of the light sensor.

18. The apparatus of claim 1 , wherein, when the sensor is an ambient noise sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the ambient noise sensor.

19. The apparatus of claim 1 , wherein, when the sensor is a temperature sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the temperature sensor.

20. The apparatus of claim 1 , wherein, when the sensor is a humidity sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the humidity sensor.

21. The apparatus of claim 1 , wherein, when the sensor is a length sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the length sensor.

22. The apparatus of claim 1 , wherein, when the sensor is an atmospheric pressure sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the atmospheric pressure sensor.

23. The apparatus of claim 1 , wherein, when the sensor is a force sensor, the sensor capability comprises at least one selected from a maximum value and a minimum value of the force sensor.

24. The apparatus of claim 1 , wherein, when the sensor is a torque sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the torque sensor.

25. The apparatus of claim 1 , wherein, when the sensor is a pressure sensor, the sensor capability comprises at least one selected from a maximum value, a minimum value, and a location of the pressure sensor.

26. The apparatus of claim 1 , wherein, when the sensor is a sound sensor, the sensor capability comprises at least one selected from a maximum value and a minimum value of the sound sensor.

27. The appa

Assignees

• Samsung Electronics Co Ltd

Inventors

• Han Seung Ju
• Han Jae Joon
• Kim Do Kyoon
• Bang Won Chul

Classifications

• A63F13/219

  for aiming at specific areas on the display, e.g. light-guns · CPC title

• A63F13/213

  comprising photodetecting means, e.g. cameras, photodiodes or infrared cells (A63F13/219 takes precedence) · CPC title

• A63F2300/534

  for network load management, e.g. bandwidth optimization, latency reduction · CPC title

• A63F13/216

  using geographical information, e.g. location of the game device or player using GPS · CPC title

• A63F13/44

  involving timing of operations, e.g. performing an action within a time slot · CPC title