Time domain differential techniques to characterize various stimuli

• US 10,185,439 B2
• Filed: 12/21/2017
• Issued: 01/22/2019
• Est. Priority Date: 09/10/2013
• Status: Active Grant

• Current Assignee: Alsentis LLC
• Original Assignee: Alsentis LLC
• Inventors: Caldwell, David W., Bos, Robert G., Kurek, Stefan G.
• Primary Examiner(s): Mehmood, Jennifer
• Assistant Examiner(s): Subedi, Deeprose
• Application Number:
  US15/850,238
• Publication Number:
  US 20180136780A1
• Time in Patent Office: 397 Days
• CPC Class Codes: G06F 2203/04106 Multi-sensing digitiser, i.e. digitiser using at least two different sensing technologies simultaneously or alternatively, e.g. for detecting pen and finger, for saving power or for improving position detection
• CPC Class Codes: G06F 3/0416 Control or interface arrangements specially adapted for digitisers
• CPC Class Codes: G06F 3/0421 by interrupting or reflecting a light beam, e.g. optical touch-screen
• CPC Class Codes: G06F 3/044 by capacitive means
• CPC Class Codes: G06V 40/1306 non-optical, e.g. ultrasonic or capacitive sensing
• CPC Class Codes: G06V 40/1318 using electro-optical elements or layers, e.g. electroluminescent sensing

Abstract

A method for determining a stimulus is provided. The method includes determining a touch condition based on the rate of change of electrode capacitance, measuring a characteristic of the electrode capacitance in response to the touch condition being met, and evaluating the measured characteristic to determine the touch stimulus. The method can improve the ability to determine a touch stimulus over existing methods, including the ability to determine fingerprint and handprint biometrics, for example.

Claims

1. A method comprising:

providing a capacitive sensor having an output signal;

detecting a placement of an object against a touch surface by calculating a rate of change of the capacitive sensor output signal, wherein detecting a placement of an object against a touch surface includes measuring a magnitude of the capacitive sensor output signal;

in response to detecting placement of the object against the touch surface, comparing the magnitude of the capacitive sensor output signal with a predetermined threshold capacitance corresponding to the capacitance of skin stored to computer readable memory to verify the object is skin lacking a carrier material; and

in response to verifying the object is skin based on a determination that the magnitude of the capacitive sensor output is greater than the predetermined threshold capacitance, mapping ridges and valleys of the skin using the capacitive sensor output;

wherein the comparing the magnitude of the capacitive sensor output with the predetermined threshold capacitance corresponding to the capacitance of skin stored to the computer readable memory occurs prior to the mapping the ridges and valleys of the skin using the capacitive sensor output.

2. The method according to claim 1 further including deriving biometric fingerprint data from the mapping of ridges and valleys of the skin and storing the biometric fingerprint data for one of calibration and reference.

3. The method according to claim 1 further including deriving biometric fingerprint data from the mapping of the ridges and valleys of the skin and comparing the biometric fingerprint data with stored biometric fingerprint data for fingerprint recognition.

4. The method according to claim 1, further including returning an unverified fingerprint without acquiring biometric fingerprint data in response to determining the object includes a carrier material based on the magnitude of the output of the capacitive sensor being less than the predetermined threshold capacitance.

5. The method according to claim 1, wherein the predetermined threshold capacitance is not corresponding to ridges and valleys mapping data of the bare finger stored to the computer readable memory.

6. A method comprising:

providing a capacitive sensor, the capacitive sensor providing an output signal;

detecting the presence of a stimulus based on a rate of change of the capacitive sensor output, the stimulus including placement of an object against a touch surface;

measuring the magnitude of the capacitive sensor output;

in response to detecting placement of the object against the touch surface, without mapping ridges and valleys of the object, comparing the magnitude of the capacitive sensor output with a predetermined threshold capacitance corresponding to the capacitance of a bare finger stored to computer readable memory to verify the object is a bare finger lacking a carrier material based on a determination that the magnitude of the capacitive sensor output is greater than the predetermined threshold capacitance;

in response to verifying the object is a bare finger lacking a carrier material, measuring biometric fingerprint data from the finger using the capacitive sensor by mapping ridges and valleys of the bare finger using the capacitive sensor output; and

comparing the measured biometric fingerprint data with stored biometric fingerprint data for fingerprint recognition.

7. The method according to claim 6 further including measuring the rate of change of the capacitive sensor output and validating the stimulus by comparing the rate of change of the capacitive sensor output to data stored to computer readable memory.

8. A method comprising:

providing a surface and a capacitive sensor proximate the surface, the capacitive sensor having an electrical output that varies with changes of capacitance of the capacitive sensor;

determining placement of the object against the surface based on a rate of change of the electrical output of the capacitive sensor;

measuring the magnitude of the electrical output of the capacitive sensor attributed to placement of the object into contact with the surface;

in response to detecting placement of the object against the surface, without mapping ridges and valleys of the object, comparing the magnitude of the electrical output of the capacitive sensor with a predetermined threshold capacitance corresponding to the capacitance of a bare finger stored to computer readable memory to determine the object is a bare finger and not a finger having a carrier material; and

in response to determining the object is a bare finger and not a finger having a carrier material based on a determination that the magnitude of the electrical output of the capacitive sensor is greater than the predetermined threshold capacitance, measuring biometric fingerprint data corresponding to ridges and valleys of the bare finger using the capacitive sensor.

9. The method according to claim 8 further including storing the measured biometric fingerprint data for calibration or reference.

10. The method according to claim 8 further including comparing the measured biometric fingerprint data with stored biometric fingerprint data for fingerprint recognition.

11. The method according to claim 8, wherein the predetermined threshold capacitance is not based on ridges and valleys mapping data of the stored biometric fingerprint data for fingerprint recognition.

12. The method according to claim 11, further including returning an unverified fingerprint without acquiring biometric fingerprint data in response to determining the object includes a carrier material based on the magnitude of the output of the capacitive sensor being less than the predetermined threshold capacitance.

13. The method according to claim 11, wherein the predetermined threshold capacitance is not corresponding to ridges and valleys mapping data of the bare finger stored to the computer readable memory.

14. The method according to claim 11, wherein the predetermined threshold capacitance is not based on ridges and valleys mapping data of the stored biometric fingerprint data for fingerprint recognition.