1. A Method of using behavioral biometric algorithms that gather, filter, conduct analysis and distinguish human swipe input sequence or shape input sequence and behavioral traits from other human behavior and or machine behavior where: a. said input sequence data is determined based on at least one of: i. raw data in the highest resolution available for the particular system, ii. raw data in the resolution determined by the current application, iii. filtered data fitting different behavior traits; b. said behavioral traits are determined based on at least three of the following: i. an angle of the swipe when entering or leaving one or more measuring points, ii. a velocity between one more measuring points, iii. an acceleration between one or more measuring points, iv. a quotient between one or more measuring points, v. a sequence between multiple measuring points, vi. a start sequence to a first measuring point, vii. an end sequence from the last measuring point, viii. a flight between one or more measuring points the dominant side between one or more measuring points, ix. dominant side between one or more measuring points, x. an area between one or more measuring points, xi. a curve fitting between one or more measuring points, xii. a heat map between one or more measuring points; xii. the average time of the sample, xiii. keypress timings; and c. where said conducting of analysis comprises at least one of the following: i. determining if said input sequence is deemed from the same user, ii. determining if said input sequence is deemed from another user, iii. determining if said input sequence is deemed not human.