Systems and methods for monitoring and recognizing human activity

A method for training sets of autoencoders, the method comprising the steps of:

• providing a plurality of stick figures corresponding to an image of a person as inputs to a plurality of autoencoders in a first set of autoencoders, wherein each stick figure corresponds to a respective position of the person with reference to a sensor or within a space;
• determining by each autoencoder in the first set of autoencoders a respective pose of the person;
• providing the poses and pace information associated with a movement of the person to a plurality of autoencoders in a second set of autoencoders;
• determining by each autoencoder in the second set of autoencoders a respective action likely undertaken by the person;
• and
• selecting autoencoder weights for minimizing a first error and a second error, wherein the first error is a minimum of differences between an actual pose of the person and respective poses determined by the first set of autoencoders and the second error is a minimum of differences between an actual action undertaken by the person and respective actions determined by the second set of autoencoders.

A system for monitoring or analyzing movements of a person to be monitored, comprising:

• a processor;
• and
• a memory in communication with the processor and comprising instructions which, when executed by a processing unit in communication with a memory unit, program the processing unit to:
• receive from a sensor an image of the person to be monitored;
• generate a stick figure comprising a linking of a plurality of joints of the person, the plurality of joints being identified in the image;
• and
• superimpose the stick figure onto a background, the background comprising an image of a space within which the person to be monitored is located, the image of the space lacking the image of the person or images of other persons.

A system for training sets of autoencoders, comprising:

• a processor;
• and
• a memory in communication with the processor and comprising instructions which, when executed by a processing unit in communication with a memory unit, program the processing unit to:
• provide a plurality of stick figures corresponding to an image of a person as inputs to a plurality of autoencoders in a first set of autoencoders, wherein each stick figure corresponds to a respective position of the person with reference to a sensor or within a space, wherein:
• each autoencoder in the first set of autoencoders is configured to:
• determine a respective pose of the person;
• and
• provide the poses and pace information associated with a movement of the person to a plurality of autoencoders in a second set of autoencoders;
• each autoencoder in the second set of autoencoders is configured to determine a respective action likely undertaken by the person;
• and
• select autoencoder weights for minimizing a first error and a second error, wherein the first error is a minimum of differences between an actual pose of the person and respective poses determined by the first set of autoencoders and the second error is a minimum of differences between an actual action undertaken by the person and respective actions determined by the second set of autoencoders.