Electrocardiogram-based face recognition security system and method using smart watch
AssigneeDodotdo Co., Ltd
InventorsIn Gyeom Kim, So Yeong Sim
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Abstract
The present invention relates to an electrocardiogram-based face recognition security system and method using a smart watch, and more particularly, to a security system and a method for enhancing security by simultaneously performing biometric human identification based on an electrocardiogram and biometric human identification using face recognition for user identification in a portable PTT communication device such as smart watch.
Claims8
An electrocardiogram-based face recognition security system comprising:
- a plurality of user terminals for enabling biometric human identification (HID) using electrocardiogram and face recognition and push-to-talk (PTT) communication, wherein a first user terminal, among the plurality of user terminals, is a smart watch providing a PTT communication service through interworking with a server including an electrocardiogram database and a face recognition database;
- and
- a server configured to receive electrocardiogram data, face recognition data and a PTT message from the first user terminal of the plurality of user terminals, transmit the electrocardiogram data to the electrocardiogram database, transmit the face recognition data to the face recognition database, transmit the PTT message to a second user terminal, among the plurality of user terminals, which enters a corresponding PTT channel when the biometric HID is identified using the electrocardiogram database and the face recognition database.
An electrocardiogram-based face recognition security method using a smart watch that includes biometric human identification (HID) device based on electrocardiogram and face recognition and provides a push-to-talk (PTT) communication service through interworking with a server including an electrocardiogram database and a face recognition database, the method comprises:
- receiving an input of face feature point data of a user;
- receiving an input of an electrocardiogram waveform of the user and removing the baseline noise from the received electrocardiogram waveform;
- determining a base form for the received electrocardiogram waveform to determine a base form of the entire waveform for the user;
- classifying the waveform for the user by evaluating a change in the base form;
- extracting characteristics of the classified waveform to enable user identification;
- and
- generating identification information which allows the user identification using a predetermined code set based on the extracted characteristics and input face feature point data to thereby perform the user identification.
Dependencies are inferred from the claim text.