This paper shows a user authentication framework for computational conditions in view of behavioral biometrics specially gait study and signature analysis. Biometrics acknowledges the utilization of physiological and behavioral qualities which recognizes a person. Numerous biometric characteristics have been created and are being utilized to confirm the individual's personality. In order to ensure the holiness of the starting frameworks we require username and passwords. Username are effectively known and one can be effortlessly speculate passwords. Since the passwords are basic, they are powerless against assaults like phishing assaults and animal compel assaults and so on. Along these lines a superior approach to reinforce the secret word is to consolidate the passwords with biometrics contains behavioral or mental biometrics. Gait analysis enables individuals to comprehend on the off chance that they have any anomalies in strolling or enables clinicians to survey fall-hazard and decide how individual's gait is not quite the same as past evaluations to comprehend the impact of medication or malady movement. Gait analysis is being used to simplify the password technique used as this analyses the walking dynamics and recognizes a person individually.