Voice command with emergency response

A voice-command based authentication system equipped with a user-definable emergency response, said system comprising:

• a mobile device that, in operation:
• receives gestures submitted by a caller, said gestures that involve a transaction;
• and
• provides an interface to trigger an automatic interaction with an artificial intelligence (“AI”) engine stored on the mobile device;
• wherein the mobile device comprises a database that is:
• storing legacy information, said legacy information comprising historical data associated with the caller;
• and
• running an application program interface that is compatible with the AI engine and enables the AI engine to access the legacy information;
• and
• wherein the mobile device runs the AI engine that, in operation:
• receives the gestures generated by the caller;
• accesses the database storing the legacy information;
• constructs an emergency profile of the caller based on:
• the legacy information and/or the gestures;
• a machine learning model;
• and
• a user training session that initializes an emergency response signal threshold level;
• and
• when the gestures exceed the emergency response signal threshold level, the mobile device generates, using machine learning, the emergency response in response to the gestures.

A method for triggering a user-definable emergency response in a voice-command based authentication system equipped with the user-definable emergency response, said method comprising:

• receives gestures on a mobile device, said gestures submitted by a caller, said gestures that involve a transaction;
• and
• providing an interface at the mobile device to trigger an automatic interaction with an artificial intelligence (“AI”) engine stored on the mobile device;
• wherein the method is configured to access a database that is:
• storing legacy information, said legacy information comprising historical data associated with the caller;
• and
• running an application program interface that is compatible with the AI engine and enables the AI engine to access the legacy information;
• and
• running the AI engine to:
• receive the gestures generated by the caller;
• access the database storing the legacy information;
• construct an emergency profile of the caller based on:
• the legacy information and/or the gestures;
• a machine learning model;
• and
• a user training session that initializes an emergency response signal threshold level;
• and
• when the gestures exceed the emergency response signal threshold level, generating, using machine learning, the emergency response in response to the gestures.