Determining an unprompted pressure
A capacitance module may include a set of electrodes, a processor in communication with the set of electrodes and memory in communication with the processor. The memory may include programmed instructions that cause the capacitance module, when executed, to perform a calibration, the calibration including prompting a press input, storing a press attribute of a press measurement associated with the press input, and determining a type of unprompted input by consulting the stored press attribute.
1 . A capacitance module, comprising:
a set of electrodes;
a processor in communication with the set of electrodes;
memory in communication with the processor;
wherein the memory includes programmed instructions that cause the capacitance module, when executed, to perform a calibration, the calibration comprising:
prompting a press input;
storing a press attribute of a press measurement associated with the press input;
deriving a press threshold value based on the stored press attribute; and
determining a type of unprompted input is a press input by comparing the unprompted input to the derived press threshold value;
wherein the stored press attribute does not include a fingerprint attribute.
2 . The capacitance module of claim 1 , the calibration further comprising:
prompting a touch input;
storing a touch attribute associated with the touch input;
wherein determining the type of the unprompted input includes consulting at least one of the stored press attribute and the touch attribute.
3 . The capacitance module of claim 1 , the calibration further comprising:
prompting a double press input and storing a double press attribute of a double press measurement associated with the double press input.
4 . The capacitance module of claim 2 , wherein determining the type of the unprompted input includes consulting at least one of the stored press attribute, the touch attribute, and the double press attribute.
5 . The capacitance module of claim 1 , the calibration further comprising:
prompting a corner press input;
storing a corner press attribute of a corner press measurement associated with the corner press input;
wherein the corner press attribute includes a different pressure measurement than the pressure attribute.
6 . The capacitance module of claim 1 , the pressure calibration further comprising:
prompting a finger press input;
storing a finger press attribute of a finger press measurement associated with the finger press input;
prompting a palm press input; and
storing a palm press attribute of a palm press measurement associated with the palm press input.
7 . The capacitance module of claim 1 , wherein the press attribute includes at least one contact area, capacitance signal strength, or capacitance signal trend.
8 . The capacitance module of claim 1 , further comprising a pressure sensor in communication with the processor; wherein the press attribute includes a pressure magnitude.
9 . The capacitance module of claim 1 , the pressure calibration further comprising:
prompting multiple press inputs at different locations on the capacitance module; and
creating a pressure threshold map containing multiple regions that each have a discretely determined press threshold that vary across the surface of the capacitance module based on the multiple press inputs;
wherein the map compensates for regional variations across the surface.
10 . The capacitance module of claim 1 , the calibration further comprising:
prompting a subsequent press input; and
using a subsequent press attribute of a subsequent press measurement associated with the prompted subsequent press input to modify the stored press attribute.
11 . The capacitance module of claim 1 , the calibration further comprising:
prompting a subsequent touch input; and
using a subsequent touch attribute of a subsequent touch measurement associated with the prompted subsequent touch input to modify the stored press attribute.
12 . The capacitance module of claim 1 , further comprising:
creating a press attribute using a press machine learning model; and
training the press machine learning model with multiple press measurements from prompted press inputs at various locations on the capacitance module.
13 . A method for determining a press input on a capacitance module, comprising:
prompting a press input;
storing a press attribute of a press measurement associated with the press input;
prompting a touch input;
storing a touch attribute of a touch measurement associated with the touch input;
deriving a press threshold value based on the stored press attribute and the stored touch attribute; and
determining an unprompted input is a press input by comparing the unprompted input to the derived press threshold value;
wherein the stored press attribute does not include a fingerprint attribute.
14 . The method of claim 13 , further comprising:
prompting a corner press input;
storing a corner press attribute of a corner press measurement associated with the corner press input;
wherein the corner press attribute includes a different pressure measurement than the pressure attribute.
15 . The method of claim 13 , further comprising:
recording a trend in capacitance signal strength during the press input and the touch input; and
adjusting the press attribute based on the trend.
16 . The method of claim 13 , further comprising:
prompting at least one additional press inputs for at least one different location on the capacitance module; and
creating a pressure threshold map with different pressure threshold attributes associated with different locations of the capacitance module based on the additional press input.
17 . A computer-program product for determining a press input on a capacitance module; the computer-program product comprising a non-transitory computer-readable medium storing instructions executable by a processor to:
prompt a press input;
store a press attribute of a press measurement associated with the press input;
prompt a touch input;
store a touch attribute of a touch measurement associated with the touch input;
deriving a press threshold value based on the stored press attribute and the stored touch attribute; and
determine a type of unprompted input is a press input by comparing the unprompted input to the derived press threshold value;
wherein the stored press attribute does not include a fingerprint attribute.
18 . The computer-program product of claim 17 , the instructions being executable to:
prompt a corner press input;
store a corner press attribute of a corner press measurement associated with the corner press input;
wherein determining the unprompted input is the press input includes adjusting the derived pressure threshold value based on the location of the unprompted input on the capacitance module.
19 . The computer-program product of claim 17 , the instructions being executable to:
record a trend in capacitance signal strength during the press input; and
adjust the press attribute based on the trend.
20 . The computer-program product of claim 17 , the instructions being executable to:
prompt an additional press input at a different location on the capacitance module; and
create a pressure threshold map with different pressure threshold attributes associated with different locations of the capacitance module based on the additional press input.