A system and method for training a system for monitoring administration of medication. The method includes the steps of a method for training a medication administration monitoring apparatus, comprising the steps of defining one or more predetermined medications and then acquiring information from one or more data sources of a user administering medication. A first network is trained to recognize a first step of a medication administration sequence, and then a second network is trained to recognize a second step of a medication administration sequence based upon the training of the first network.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for training a medication administration monitoring apparatus, comprising the steps of: defining one or more predetermined medications; acquiring one or more images of a user administering medication; training a first network to recognize a hand portion of the one or more images of the user; training a second network to recognize a finger-pill-finger portion of the one or more images of the user based upon the training of the first network; and training a third network to recognize a pill portion of the one or more images of the user based upon the training of the second network. 2. The method of claim 1, wherein the training of each network is performed in accordance with a supervised learning process. 3. The method of claim 1, wherein the training of each network is performed in accordance with an unsupervised learning process. 4. The method of claim 1, wherein the training of a plurality of the networks are performed in sequence, employing the image processing system a single time. 5. The method of claim 1, wherein upon use of the trained first, second and third networks to process images, utilizing one or more of these processed images to further train one or more of the first, second and third networks. 6. The method of claim 1, further comprising the steps of: receiving audio data associated with the medication administration; and employing the received audio data to train one or more of the first, second and third networks. 7. The method of claim 1, further comprising the steps of: receiving additional input data associated with the medication administration; and employing the additional input data associated with the medication administration. 8. The method of claim 7, wherein the additional input data is received from the user. 9. The method of claim 7, wherein the additional input data is received from an automated system. 10. A method for training a medication administration monitoring apparatus, comprising the steps of: defining one or more predetermined medications; acquiring information from one or more data sources of a user administering medication; training a first network to recognize a first step of a medication administration sequence; and training a second network to recognize a second step of a medication administration sequence based upon the training of the first network. 11. A method for training a medication administration monitoring apparatus, comprising the steps of: defining one or more predetermined medications; acquiring one or more images of a user administering medication; training a first network to recognize a face portion of a user from the one or more images; training a second network to recognize a mouth portion of the user from the one or more images based upon the training of the first network; training a third network to recognize an open mouth of the user from the one or more images based upon the training of the second network; training a fourth network to recognize a raised tongue of the user from the one or more images based upon the training of the third network; training a fifth network to recognize a medication pill on or under the tongue of the user from the one or more images based upon the training of the fourth network; and training a sixth network to recognize the identity of the medication pill from the one or more images based upon the training of the fifth network. 12. The method of claim 11, wherein the training of each network is performed in accordance with a supervised learning process. 13. The method of claim 11, wherein the training of each network is performed in accordance with an unsupervised learning process. 14. The method of claim 11, wherein the training of a plurality of the networks are performed in sequence, employing the image processing system a single time. 15. The method of claim 11, wherein upon use of the trained networks to process images, utilizing one or more of these processed images to further train one or more of the networks. 16. The method of claim 11, further comprising the steps of: receiving audio data associated with the medication administration; and employing the received audio data to train one or more of the networks. 17. The method of claim 11, further comprising the steps of: receiving manually input data associated with the medication administration; and employing the manually input data associated with the medication administration. 18. The method of claim 17, wherein the manually input data is received from the user. 19. The method of claim 17, wherein the additional input data is system generated data. 20. The method of claim 11, further comprising the step of confirming that the one or more predetermined medications cover a desired spectrum of possible medications.