Driver Identification

A system for determining an identity of a driver, the system comprising:

• an identity token comprising information identifying the driver;
• at least one electrocardiogram (ECG) electrode configured to be contacted by a body part of the driver and to output an ECG signal;
• an ECG processor comprising an embedding module, the embedding module comprising a machine learning algorithm, the embedding module being configured to receive at least part of the ECG signal and to use the machine learning algorithm to obtain a vector representation of features of the ECG signal;
• and
• a classifier configured to compare two vector representations to determine a similarity metric;
• wherein the system is configured to:
• receive a first identity token from an authorised driver;
• obtain, at the time of or after receiving the first identity token, a first ECG signal for the authorised driver;
• provide at least part of the first ECG signal to the machine learning algorithm to obtain a first vector representation of first features of the first ECG signal;
• label the first vector representation as belonging to the authorised driver, the labelling being based upon the first identity token;
• obtain a second ECG signal for a first candidate driver;
• provide at least part of the second ECG signal to the machine learning algorithm to obtain a second vector representation of second features of the second ECG signal;
• compare the second vector representation to the labelled first vector representation to determine the similarity metric;
• and
• if the similarity metric is within a predetermined threshold, provide confirmation that the first candidate driver is the authorised driver.

A non-transitory computer-readable medium comprising instructions which, when executed by a computer, cause the computer to:

• receive a first identity token from an authorised driver;
• obtain, at the time of or after receiving the first identity token, a first electrocardiogram (ECG) signal for the authorised driver;
• provide at least part of the first ECG signal to a machine learning algorithm to obtain a first vector representation of first features of the first ECG signal;
• label the first vector representation as belonging to the authorised driver, the labelling being based upon the first identity token;
• obtain a second ECG signal for a first candidate driver;
• provide at least part of the second ECG signal to the machine learning algorithm to obtain a second vector representation of second features of the second ECG signal;
• compare the second vector representation to the labelled first vector representation to determine a similarity metric;
• and
• if the similarity metric is within a predetermined threshold, provide confirmation that the first candidate driver is the authorised driver.