MOBILE DEVICE HAVING PROXIMITY SENSOR AND GESTURE BASED USER INTERFACE METHOD THEREOF

• US 20100321289A1
• Filed: 06/14/2010
• Published: 12/23/2010
• Est. Priority Date: 06/19/2009
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: KIM, Eun Ji, KANG, Tae Ho
• Application Number:
  US12/814,809
• Publication Number:
  US 20100321289A1
• Time in Patent Office: Days
• US Class Current: 345/156
• CPC Class Codes: G06F 1/1626 with a single-body enclosure integrating a flat display, e.g. Personal Digital Assistants [PDAs]
• CPC Class Codes: G06F 1/169 the I/O peripheral being an integrated pointing device, e.g. trackball in the palm rest area, mini-joystick integrated between keyboard keys, touch pads or touch stripes G06F1/1643 takes precedence; constructional details of pointing devices G06F3/033
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883

Abstract

A mobile device has a proximity sensor and a user interface based on a user'"'"'s gesture detected using the proximity sensor. The gesture-based user interface method includes enabling proximity sensing through the proximity sensor, detecting a specific gesture through the proximity sensing, analyzing a pattern of the specific gesture, and executing a particular function assigned to the pattern.

Claims

1. A gesture-based user interface method in a mobile device having a proximity sensor, the method comprising:

enabling proximity sensing through the proximity sensor;

detecting a specific gesture through the proximity sensing;

analyzing a pattern of the specific gesture; and

executing a particular function assigned to the pattern.

2. The method of claim 1, wherein the enabling of the proximity sensing comprises:

turning on a switch when receiving a control signal;

emitting light when the switch is turned on; and

activating a gesture pattern recognition mode for interpreting the pattern based on the specific gesture.

3. The method of claim 1, wherein the specific gesture includes at least one of a distance-dependent gesture and a direction-dependent gesture.

4. The method of claim 1, wherein the detecting of the specific gesture comprises:

emitting light through an emitting part;

receiving the light through a plurality of receiving parts, the light being received due to the specific gesture; and

processing a signal of the received light.

5. The method of claim 4, wherein the processing of the signal includes:

filtering and amplifying the signal of the received light; and

sending the amplified signal to at least one of a control unit and a plurality of comparators, each of the plurality of comparators comparing the amplified signal with a given threshold value.

6. The method of claim 5, wherein the detecting of the specific gesture comprises:

analyzing data obtained by the comparison performed in each comparator; and

determining the strength of light using the analyzed data.

7. The method of claim 4, wherein the detecting of the specific gesture comprises:

identifying a time when the light detected by each receiving part is received; and

determining the direction of the specific gesture by performing an operation for the identified time.

8. The method of claim 1, wherein the analyzing of the pattern of the specific gesture includes:

determining a single pattern with an upward, downward, rightward, or leftward direction; and

determining a user-defined pattern composed of at least two single patterns in a gesture pattern setting mode.

9. The method of claim 8, wherein the gesture pattern setting mode comprises a mode in which the user-defined gesture is established and assigned to a particular executable menu or function by a user.

10. The method of claim 9, further comprising:

saving the user-defined gesture in a pattern database.

11. The method of claim 1, wherein the analyzing of the pattern of the specific gesture comprises:

determining a tilt variation of the mobile device; and

interpreting the pattern of the specific gesture based on the tilt variation.

12. The method of claim 11, wherein the determining of the tilt variation includes detecting the tilt variation using at least one of a three-axis geomagnetic sensor and a three-axis acceleration sensor.

13. The method of claim 1, wherein the analyzing of the pattern of the specific gesture comprises:

identifying two or single patterns, each having an upward, downward, rightward, leftward, approaching, or receding direction; and

identifying the pattern of the specific gesture as a combination of two or more single patterns.

14. A mobile device having a gesture-based user interface, the mobile device comprising:

a proximity sensor unit including an emitting part for emitting light when a switch is turned on through a control signal, and a plurality of receiving parts for detecting the light reflected from a specific gesture; and

a control unit for detecting the specific gesture, for analyzing a pattern of the specific gesture, and for executing a particular function assigned to the pattern.

15. The mobile device of claim 14, wherein the specific gesture includes at least one of a distance-dependent gesture and a direction-dependent gesture.

16. The mobile device of claim 14, further comprising:

a signal processing unit for filtering a signal of the light, for amplifying the filtered signal, and for sending the amplified signal to at least one of a control unit and a plurality of comparators, each of which compares the amplified signal with a given threshold value.

17. The mobile device of claim 14, wherein the control unit analyzes data obtained by comparison performed in each comparator, and determines the strength of light using the analyzed data.

18. The mobile device of claim 14, wherein the control unit identifies a time when the light detected by each receiving part is received, and determines the direction of the specific gesture by performing an operation for the identified time.

19. The mobile device of claim 14, wherein the control unit activates a gesture pattern recognition mode for interpreting the pattern based on the specific gesture.

20. The mobile device of claim 14, wherein the control unit determines a single pattern with an upward, downward, rightward, or leftward direction, and determines a user-defined pattern composed of at least two single patterns in a gesture pattern setting mode.

21. The mobile device of claim 20, wherein the gesture pattern setting mode is a mode in which the user-defined gesture is established and assigned to a particular executable menu or function by a user.

22. The mobile device of claim 21, further comprising:

a memory unit for saving the user-defined gesture in a pattern database.

23. The mobile device of claim 14, further comprising:

a sensor unit for detecting a tilt variation using at least one of a three-axis geomagnetic sensor and a three-axis acceleration sensor.

24. The mobile device of claim 23, wherein the control unit determines the tilt variation of the mobile device using the sensor unit, and interprets the pattern of the specific gesture in view of the tilt variation.

25. A method of defining a gesture pattern in a mobile device, the method comprising:

identifying an operation to be performed by a gesture;

receiving a gesture from the user; and

when the received gesture does not correspond to a previously defined gesture, saving pattern information corresponding to the received gesture.

26. The method of claim 25, wherein the receiving of the gesture from the user comprises:

enabling a proximity sensor of the mobile device;

detecting the gesture via the proximity sensor; and

analyzing a pattern of the gesture,

wherein the saving of the pattern information comprises saving the analyzed pattern.