1. A method of using behavioral biometric algorithms, the method comprising: gathering data from a first user; filtering said gathered data; and conducting analysis and distinguishing a human swipe input sequence applied to a touchpad or touchscreen 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 raw data in the highest resolution available for the particular system; b. said behavioral traits are determined based on collision detection shapes, measuring points, and lines, based on the detection of collision of two or more measuring points of said swipe input sequence with two or more collision detection shapes; and 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 time of flight between one or more measuring points, ix. the dominant side between one or more measuring points, x. an area enclosed between a curve and a line connecting one or more measuring points on said curve, 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 from said first user, ii. determining if said input sequence is from another user, different from said first user, iii. determining if said input sequence is not human.