Optical user interface
In an example, a system for detecting an object in an area over a screen of a mobile device may comprise a light source and a photodetector tilted toward the screen. Since a field of view of the photodetector and a radiation field of the light source may be directed toward the screen, the system may detect that a user performed a non-contacting gesture in the area over the screen. In another example, a system for detecting multiple modes of finger gestures may detect at least one of a signature gesture, a thumb joystick mode, or a thumb mouse mode. The system can execute a calendar application upon detecting that a user gestured in the shape of a letter “C”. When detecting a thumb gesture, the system may utilize a sensor having a reduced range relative to the range needed for hand gestures and, thereby, reduce power consumption.
1. A method comprising:
detecting position data from a device comprising a light source, a screen, and at least one photodetector mounted on a face of the device, and an aperture defining a field of view of the at least one photodetector, wherein the screen and the aperture are flush with the face of the device, the field of view of the at least one photodetector is fixed and is tilted toward the screen of the device, and the position data is detected based on a non-contacting gesture performed in the field of view of the at least one photodetector; and
detecting, based on processing the position data, at least one of a signature gesture, a thumb gesture, or a hand gesture.
2. The method of claim 1 , further comprising:
detecting, within the position data, a shape of an alphanumeric character.
3. The method of claim 2 , wherein the processing comprises:
identifying an association between the alphanumeric character and an application; and
executing the application.
4. The method of claim 1 , wherein the processing comprises:
normalizing the position data to include only data corresponding to a target length of time;
analyzing the normalized position data against defined gestures stored in a data store; and
outputting an identifier corresponding to at least one of the defined gestures based on the analyzing.
5. The method of claim 4 , wherein the processing comprises:
determining a type of analysis to perform based on a signal to noise ratio of the position data.
6. The method of claim 4 , wherein the processing comprises:
determining a type of analysis to perform based on a type of gesture data being analyzed, wherein different types of analysis are determined for each of signature gesture data, thumb gesture data, and hand gesture data.
7. The method of claim 1 , wherein the device is a mobile phone.
8. The method of claim 7 , wherein the field of view of the at least one photodetector is aligned at an oblique angle relative to a line perpendicular to the face of the mobile phone.
9. The method of claim 1 , wherein the light source is flush with the face of the device.
10. A gesture detection apparatus comprising:
a light source, a screen, and at least one photodetector mounted on a face of the gesture detection apparatus, the light source having a radiation field in which light is emitted; the at least one photodetector having a field of view in which light is detected;
an aperture defining the field of view, wherein the screen and the aperture are flush with the face of the gesture detection apparatus, and the aperture aligns the field of view in a direction that is fixed and is tilted toward the screen of the gesture detection apparatus; and
at least one processor configured to perform operations comprising:
detecting position data based on a non-contacting gesture performed in the field of view of the at least one photodetector; and
detecting, based on processing the position data, at least one of a signature gesture, a thumb gesture, or a hand gesture.
11. The gesture detection apparatus of claim 10 , wherein the operations, performed by the at least one processor, further comprise:
detecting, within the position data, a shape of an alphanumeric character.
12. The gesture detection apparatus of claim 11 , wherein the operations, performed by the at least one processor, further comprise:
identifying an association between the alphanumeric character and an application; and
executing the application.
13. The gesture detection apparatus of claim 10 , wherein the operations, performed by the at least one processor, further comprise:
normalizing the position data to include only data corresponding to a target length of time;
analyzing the normalized position data against defined gestures stored in a data store; and
outputting an identifier corresponding to at least one of the defined gestures based on the analyzing.
14. The gesture detection apparatus of claim 13 , wherein the operations, performed by the at least one processor, further comprise:
determining a type of analysis to perform based on a signal to noise ratio of the position data.
15. The gesture detection apparatus of claim 13 , wherein the operations, performed by the at least one processor, further comprise:
determining a type of analysis to perform based on a type of gesture data being analyzed, wherein different types of analysis are determined for each of signature gesture data, thumb gesture data, and hand gesture data.
16. The gesture detection apparatus of claim 10 , wherein the gesture detection apparatus is a mobile phone.
17. The gesture detection apparatus of claim 16 , wherein the at least one photodetector is aligned at an oblique angle relative to a line perpendicular to the face of the mobile phone.
18. The gesture detection apparatus of claim 10 , wherein the light source is flush with the face of the gesture detection apparatus.