CAPACITIVE SENSING DEVICE AND SIGNAL PROCESSING METHOD THEREOF

• US 20170076129A1
• Filed: 12/04/2015
• Published: 03/16/2017
• Est. Priority Date: 09/15/2015
• Status: Abandoned Application

• Current Assignee: Egis Technology Inc.
• Original Assignee: Egis Technology Inc.
• Inventors: LIN, TODD
• Application Number:
  US14/959,224
• Publication Number:
  US 20170076129A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 18/2413 based on distances to training or reference patterns
• CPC Class Codes: G06V 10/764 using classification, e.g. of video objects
• CPC Class Codes: G06V 10/82 using neural networks
• CPC Class Codes: G06V 40/1306 non-optical, e.g. ultrasonic or capacitive sensing
• CPC Class Codes: G06V 40/1394 using acquisition arrangements
• CPC Class Codes: G06V 40/15 Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities

Abstract

The present invention illustrates a capacitive sensor device and signal processing method thereof. The capacitive sensing device comprises a sensing array, a reading module and a signal separator. The sensing array comprises a plurality of sensing units. Each of the sensing units will generate a sensing voltage when a user'"'"'s finger presses on the sensing array. The reading module reads the sensing voltages and generates a sensing output corresponding to each of the sensing voltages. The signal separator processes each of the sensing outputs to generate a sensing signal and a biomedical signal.

Claims

1. A capacitive sensing device, comprising:

a sensing array, comprising a plurality of sensing units, wherein each of the sensing units will generate a sensing voltage when a user'"'"'s finger presses on the sensing array;

a reading module, reading the sensing voltages and generating a sensing output corresponding to each of the sensing voltages; and

a signal separator, processing each of the sensing outputs to generate a sensing signal and a biomedical signal.

2. The capacitive sensing device according to claim 1, further comprising:

a processor, determining a touch event according to the sensing signals and generating biological information associated with the user according to the biomedical signals.

3. The capacitive sensing device according to claim 2, wherein the biological information is an Electrocardiogram (ECG) information, an Electromyogram (EMG) information, an Electrogastroenterogram (EGEG) information or an Electrogastrogram (EGG) information.

4. The capacitive sensing device according to claim 1, wherein the biomedical signals generated by the signal separator are sourced from a living body micro current associated with the user'"'"'s finger.

5. The capacitive sensing device according to claim 2, wherein the processor comprises:

an artificial neural network model, executing a smart computation on the biomedical signals to generate biological information associated with the user.

6. The capacitive sensing device according to claim 1, further comprising:

a processor, obtaining a fingerprint pattern associated with the user'"'"'s finger according to the sensing signals.

7. The capacitive sensing device according to claim 6, wherein the processor generates biological information associated with the user according to the biomedical signals.

8. The capacitive sensing device according to claim 6, wherein after the fingerprint pattern is verified, the processor generates biological information associated with the user according to the biomedical signals.

9. A signal processing method, used in a capacitive sensing device, wherein the capacitive sensing device comprises a sensing array comprising a plurality of sensing units, the signal processing method comprising:

generating a sensing voltage when a user'"'"'s finger presses on the sensing array via each of the sensing units;

reading the sensing voltages, and further generating a sensing output corresponding to each of the sensing voltages; and

processing each of the sensing outputs via a signal separator to generate a sensing signal and a biomedical signal.

10. The signal processing method according to claim 9, further comprising:

determining a touch event via a processor according to the sensing signals and generating biological information associated with the user according to the biomedical signal.

11. The signal processing method according to claim 10, wherein the biological information is an Electrocardiogram (ECG) information, an Electromyogram (EMG) information, an Electrogastroenterogram (EGEG) information or an Electrogastrogram (EGG) information.

12. The signal processing method according to claim 9, wherein the biomedical signals generated by the signal separator are sourced from a living body micro current associated with the user'"'"'s finger.

13. The signal processing method according to claim 9, further comprising:

executing a smart computation on the biomedical signals to generate biological information associated with the user via an artificial neural network model.

14. The signal processing method according to claim 9, further comprising:

obtaining a fingerprint pattern associated with the user'"'"'s finger according to the sensing signals via a processor.

15. The signal processing method according to claim 14, wherein the processor generates biological information associated with the user according to the biomedical signals.

16. The signal processing method according to claim 14, wherein when the fingerprint pattern is verified, the processor will generate biological information associated with the user according to the biomedical signals.