Methods and systems of identifying an instant mood state personalized for an individual subject are described. The methods and systems may include analysis of biological information specific to the subject, such as voice information acquired through speech, to provide information relating to an emotional state factor of the subject. Emotional state factor information may be used in conjunction with a decision means such as a database or decision tree relating the emotional state factor to certain moods personalizable for the individual subject. The decision means may be expandable, changeable, and/or capable of incorporating information self-reported by the subject to refine and optimize the information therein relating measured emotional state factors to specific moods. Identified instant mood states may be employed by the individual user in day to day life, and may also be employed by others providing care for, or a service to, the individual user.
