1. A method for filtering targeted data comprising steps of: a. providing a plurality of M devices D i ; each of said D i is adapted to measure a physiological parameter; at least one of said physiological parameters being a voice-based physiological parameter selected from voice intonation and voice tone and at least one of said physiological parameters being a non-voice based physiological parameter selected from a group consisting of skin conductivity, rate of heart beat, blood pressure, brain activity, smell, facial expression, eye movement, and body language; b. providing a data base of plurality of classified data; said classification is according to said physiological parameters; wherein said classified data is selected from a group consisting of: coupons, marketing data, informational data, social data, matching data between individuals in a social network, and any combination thereof; c. measuring said at least one non-voice based physiological parameters of a mammalian subject using said devices; d. measuring said voice intonation or voice tone and determining at least one voice-based emotional attitude, as follows: i. obtaining a database comprising reference tones and voice-based reference emotional attitudes corresponding to each of said reference tones; ii. pronouncing at least one word by a speaker for the duration of a sample period; iii. recording said at least one word so as to obtain a signal representing sound volume as a function of frequency for said sample period; iv. processing said signal so as to obtain voice characteristics of said speaker, wherein said processing includes determining a Function A, said Function A being defined as the average or maximum sound volume as a function of sound frequency, from within a range of frequencies measured in said sampled period, and wherein said processing further includes determining a Function B, said Function B defined as the averaging, or maximizing of said function A over said range of frequencies and dyadic multiples thereof; v. comparing said voice characteristics to said reference tones so as to indicate at least one of said voice-based reference emotional attitudes; e. storing results of said measurements and said voice-based emotional attitude in a computer readable medium having instruction thereon; wherein said method, additionally comprising steps of f. deriving, from said at least one voice-based emotional attitude and said at least one non-voice based physiological parameter, an emotional state of said mammalian subject via said instructions; and g. selecting via said instructions, at least some of said classified data according to said emotional state.