Device and method for continuous biometric recognition based on electrocardiographic signals

• US 9,603,556 B2
• Filed: 01/14/2013
• Issued: 03/28/2017
• Est. Priority Date: 01/19/2012
• Status: Active Grant

• Current Assignee: Instituto de Telecomunicaes, Instituto Superior De Engenharia De Lisboa, Instituto Superior Tã‰Cnico
• Original Assignee: Instituto de Telecomunicaes, Instituto Superior De Engenharia De Lisboa, Instituto Superior Tã‰Cnico
• Inventors: Silva, Hugo Humberto Plcido da, Fred, Ana Lusa Nobre, Loureno, Andr Ribeiro
• Primary Examiner(s): ALAM, MIRZA F
• Application Number:
  US14/373,099
• Publication Number:
  US 20140361871A1
• Time in Patent Office: 1,534 Days
• Field of Search: 340/5.52, 340/5.82, 700/150
• US Class Current: 1/1
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/6893 Cars
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: F04C 2270/041 Controlled or regulated
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/15 Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

Signal measurement for biometric recognition purpose includes a computational unit and a sensory unit designed to measure electrocardiographic (ECG) signals in a continuous fashion, guaranteeing that the biometric recognition is performed in an uninterrupted way whenever the device is used, with the purpose of enabling the automated recognition or validation of the identity of its wearer. The sensory unit has an electronic module through which the ECG is acquired. Its operating principle can be based in the electrical conductivity, in which case it requires contact with the skin of the user, or in any kind of capacitive or mechanical element, in which case it does not require any direct contact with the user. The device can be used in alternative or as a complement to existing systems that only perform a momentary identity check. It can be applied to vehicles, tablet computers or analogous contexts.

Claims

1. A device for continuous biometric recognition using electrocardiographic signals comprising:

measurement terminals comprising capacitive sensors for continuous measurement of the electrocardiographic signal or non-metallic conductive elements for the measurement of electrical potential differential, or mechanical elements;

an electronic transduction and signal conditioning;

circuit including a virtual ground, and an electromagnetic noise filter, the electronic transduction and signal conditioning circuit receiving the electrocardiographic signals and filtering the electrocardiographic signals in the electromagnetic noise filter to provide the electrocardiographic signals free of external noise;

electronic equipment for digital processing the received filtered electrocardiographic signals, generating biometric recognition of a user and customizing of settings of the electronic equipment according to a result of the biometric recognition of the user, wherein the biometric recognition of the user occurs uninterruptedly while the device is being used.

2. The device for continuous biometric recognition using electrocardiographic signals according to claim 1, the device adapted to be used inside a cabin of a car, wherein

the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in a steering wheel of the car by non-metallic conductive elements;

the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in a seat of the car by contactless capacitive sensors;

the electronic equipment is a central processing unit of a central console of the car and a screen of the central console of the car; and

the electronic equipment includes a method for communication with a CAN bus of the car.

3. The device for continuous biometric recognition using electrocardiographic signals according to claim 1, the device adapted to be used on a motorcycle, wherein

the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in handlebars of the motorcycle by non-metallic conductive elements;

is the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in a seat of the motorcycle by contactless capacitive sensors;

the electronic equipment is a central processing unit on a central console of the motorcycle and graphical representation screen on a central console of the motorcycle; and

the electronic equipment includes a method for communication with a CAN bus of the motorcycle.

4. The device for continuous biometric recognition using electrocardiographic signals according to claim 1, adapted to be used on a gym machine, wherein:

the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in a structure of the gym machine by contactless capacitive sensors; and

the electronic equipment is a central processing unit of a central console of the gym machine and a screen of the central console of the gym machine.

5. The device for continuous biometric recognition using electrocardiographic signals according to claim 1, the device adapted to be used on a tablet computer, wherein

the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in a shell of a tablet computer by contactless capacitive sensors and a mother board of the tablet;

and

the electronic equipment is a central processing unit of the tablet computer and a graphical representation screen of the tablet computer.

6. The device for continuous biometric recognition according to claim 2 wherein the non-metallic elements are conductive coatings, films or adhesives.

7. The device for continuous biometric recognition according to claim 1, wherein the measurement terminals are capacitive sensors or piezoelectric sensors.

8. The device for continuous biometric recognition according to claim 1, wherein the capacitive sensors for continuous measurement of the electrocardiographic signals are integrated in the electronic equipment.

9. The device for continuous biometric recognition according to claim 1, wherein the capacitive sensors for continuous measurement of the electrocardiographic signals are separated from the electronic equipment.

10. A method for continuous biometric recognition from electrocardiographic signals, using the device defined in claim 1, comprising the following steps:

a) continuous acquisition of the electrocardiographic signals through the capacitive sensors for continuous measurement of the electrocardiographic signals;

b) transduction and signal conditioning with the virtual ground and the electromagnetic noise filter that measures the electrocardiographic signals using one or more measurement terminals, filters and amplifies the electrocardiographic signals;

c) signal conversion through the use of an analog-to-digital signal conversion that integrates a quantization element and an analog-to-digital converter, that transforms physical quantities corresponding to the electrocardiographic signals into a digital representation;

d) transmission of the electrocardiographic signals acquired by the capacitive sensors for continuous measurement of the electrocardiographic signals to the electronic equipment;

e) processing the electrocardiographic signals and extracting representative information related with identity of the user in the electronic equipment;

f) recording of the representative information of the user in a database that is integrated or not in the electronic equipment;

g) classification of the representative information of the user; and

h) decision on the biometric recognition of the user in the electronic equipment.