6. The personal emotion-based cognitive assistant of claim 3 , wherein: the at least one sensor comprises a plurality of sensors configured to sense multi-emotion signals of the user, the processor is further configured to process the multi-emotion signals to generate emotion information and determine whether the generated emotion information is above a threshold value indicating that a user is paying attention to the captured visual and audio data, and in response to the determining that the emotion information is above the threshold value, forming and storing in the memory, the generated cognitive module, wherein the cognitive module is stored in the sensory memory area from among the different areas of the memory.
6. The personal emotion-based cognitive assistant of claim 3 , wherein: the at least one sensor comprises a plurality of sensors configured to sense multi-emotion signals of the user, the processor is further configured to process the multi-emotion signals to generate emotion information and determine whether the generated emotion information is above a threshold value indicating that a user is paying attention to the captured visual and audio data, and in response to the determining that the emotion information is above the threshold value, forming and storing in the memory, the generated cognitive module, wherein the cognitive module is stored in the sensory memory area from among the different areas of the memory. 7. The personal emotion-based cognitive assistant system of claim 6 , further comprising: a buffer configured to store the captured synchronized visual and audio information for a period of time corresponding to a period of time prior to the human brain issuing an instinct emotional code.