1. A capacitive touch sensing device comprising:
a flexible touch sensing circuit with a first surface and a second surface opposite to the first surface, the flexible touch sensing circuit including a flexible dielectric film and an array of capacitance sensing nodes, the array including a plurality of conductive lines, the flexible dielectric film and the array of capacitance sensing nodes being disposed between the first surface and the second surface, the flexible touch sensing circuit being deformable into a plurality of different three-dimensional shapes such that the second surface is conformable to each of the plurality of different three-dimensional shapes while the flexible touch sensing circuit senses multiple touch events occurring at different locations on the first surface.
2. The capacitive touch sensing device of claim 1 wherein the flexible touch sensing circuit includes an electrically isolated electrode at each capacitance sensing node, each electrode electrically connected to an individual one of the conductive lines for operatively coupling to capacitive monitoring circuitry.
3. The capacitive touch sensing device of claim 2, further comprising:
the capacitive monitoring circuitry, wherein the capacitive monitoring circuitry includes one or more integrated circuits for monitoring the capacitance at each of the electrodes.
4. The capacitive touch sensing device of claim 3, further comprising:
a processing device that detects the multiple touch events occurring on the first surface of the flexible touch sensing circuit, the multiple touch events being detected based on capacitance information received from the capacitive monitoring circuitry.
5. The capacitive touch sensing device of claim 1 wherein the capacitance sensing nodes are arranged in an orthogonal grid.
6. The capacitive touch sensing device of claim 1 wherein the flexible touch sensing circuit is opaque.
7. The capacitive touch sensing device of claim 1, further comprising:
an object including a processing device, wherein the second surface of the flexible touch sensing circuit is attached to one or more surfaces of the object, and the processing device detects the multiple touch events occurring on the first surface.
8. The capacitive touch sensing device of claim 7 wherein the object is a handheld electronics device, and the processing device further generates input commands of the handheld electronics device, the input commands being generated based on the detected touch events.
9. The capacitive touch sensing device of claim 8 wherein the handheld electronics device is a remote control, a computer, a mobile telephone or a digital media player.
10. The capacitive touch sensing device of claim 7 wherein the object is a musical instrument.
11. The capacitive touch sensing device of claim 7 wherein the object is a handle of a sporting device.
12. The capacitive touch sensing device of claim 1, wherein a distance between the first and second surfaces is 0.1 mm or less.
13. The capacitive touch sensing device of claim 1, wherein the flexible touch sensing circuit is substantially transparent.
14. The capacitive touch sensing device of claim 13, wherein the conductive lines include indium tin oxide (ITO).
15. The capacitive touch sensing device of claim 1, wherein the conductive lines include a first set of conductive lines disposed a first layer and a second set of conductive lines disposed in a second layer, the first and second layers being spatially separated from each other, the first set of conductive lines arranged along a first direction and the second set of conductive lines arranged along a second direction different than the first direction, such that first and second sets of conductive lines overlap at a plurality of locations, wherein each overlap is one of the capacitance sensing nodes.
16. The capacitive touch sensing device of claim 15, wherein the first direction is orthogonal to the second direction.
17. The capacitive touch sensing device of claim 7, wherein the one or more surfaces of the object includes a planar surface.
18. The capacitive touch sensing device of claim 7, wherein the processing device further determines an arrangement of the detected multiple touch events, compares the determined arrangement to a predetermined arrangement, and generates feedback information based on the comparison.
19. The capacitive touch sensing device of claim 18, wherein the object is a sporting device, the predetermined arrangement is a predetermined grip arrangement of the sporting device, and the feedback information indicates whether or not the determined arrangement matches the predetermined grip arrangement.
20. The capacitive touch sensing device of claim 8, further comprising:
a display screen that displays graphical user interface (GUI) objects, wherein the input commands generated by the processing device are further based on the GUI objects.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A system for an attribute identification framework comprising:
a processing unit;
an attribute identification algorithm module;
an offline training portion comprising:
a preprocessing module to tokenize a first sentence input to the offline training portion into ngrams to define a first tokenized sentence;
a feature selection module employing information gain to determine a presence or absence of a plurality of attributes in the first tokenized sentence;
a model training module to generate the attribute identification algorithm module for each of the plurality of attributes within the first tokenized sentence, with each term having a relationship with another term of the first tokenized sentence;
an online prediction portion comprising:
a preprocessing module to tokenize a second sentence input to the online prediction portion into ngrams to define a second tokenized sentence;
an attribute prediction module to determine attributes of the second tokenized sentence employing the attribute identification algorithm module; and
an attribute number prediction module to determine a number of attributes to be associated with the second tokenized sentence.
2. The system as recited in claim 1, wherein the first sentence comprises a plurality of attributes.
3. The system as recited in claim 1, wherein the second sentence comprises a plurality of attributes.
4. The system as recited in claim 1, wherein the second sentence is an online review for a product.
5. The system as recited in claim 1, wherein the attribute identification algorithm comprises a plurality of binary classifiers.
6. The system as recited in claim 1, wherein the ngrams are less than or equal to 3.
7. The system as recited in claim 1, wherein the information gain of the feature selection module is defined as:
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