System for automating the detection of problem gambling behaviour and the inhibition and control of gaming machine and gambling device functionality

1. A system for automating the detecting of problem gambling behavior, the system comprising:

a player interface adapted for receiving biometric data from a player, wherein the player is either a profiled gambler or a gambler; and

a neural network, wherein the neural network is trained during a training phase involving profiled gamblers during which the neural network is trained using:

the occurrence of predefined pay table payout gaming scenarios determined from in-game data obtained from the profiled gamblers; and

a plurality of biometric variables recorded from the profiled gamblers via the player interface in response to each occurrence of the predefined pay table payout gaming scenarios, such that:

in use, neural network, so trained, is able to detect problem gambling behavior in gamblers using:

the occurrence of the predefined pay table payout gaming scenarios determined from in-game data obtained from gamblers; and

the plurality of biometric variables recorded from the gamblers via the player interface in response to the occurrence of the predefined pay table payout gaming scenarios.

2. A system as claimed in claim 1 , wherein the biometric data comprise at least one of:

electrocardiograph data representing a heart rate of the player;

conductivity data representing skin conductivity of the player;

pressure data representing pressure exerted by the player on the player interface; and

image data representing at least one of facial expressions and gestures of the player.

3. A system as claimed in claim 1 , further comprising an identification device, and wherein the system is further adapted to receive identification data from the identification device identifying the player.

4. A system as claimed in claim 1 , further comprising a security device, and wherein the system is further adapted to receive authentication data from the security device authenticating the player.

5. A system as claimed in claim 4 , wherein the system is further adapted for storing, using the security device, player profile data representing a profile of the player.

6. A system as claimed in claim 1 , wherein, responsive to the system detecting problem gambling behavior, the system is further adapted to implement gambling limitations.

7. A system as claimed in claim 6 , wherein the gambling limitations comprise at least one of:

maximum wager amount, including per period and per wager;

gambling period restriction; and

gambling duration restriction limitations.

8. A system as claimed in claim 1 , wherein the predefined pay table payout gaming scenarios are highest paying pay table symbol combinations.

9. A system as claimed in claim 8 , wherein the neural network has input neurons comprising:

input neurons for the occurrence of each the predefined pay table payout gaming scenarios; and

input neurons for a plurality of physiological responses recorded in response to the occurrence of the predefined pay table payout gaming scenarios; and

an output neuron for an assessment of problem gambling.

10. A system as claimed in claim 9 , further comprising one hidden layer of neurons between the input neurons and the output neuron.

11. A system as claimed in claim 10 , wherein the number of neurons of the hidden layer exceeds the number of input neurons.

12. A system as claimed in claim 11 , wherein the input neurons comprise 16 neurons and wherein the hidden neurons comprise greater than 19 neurons.

13. A system as claimed in claim 12 , wherein the input neurons comprise 16 neurons and wherein the hidden neurons comprise 30 neurons.