Machine Learning-Based Platform For User Identification

A non-transitory computer-readable medium configured to store computer-readable instructions that, when executed by a processor, cause the processor to perform steps comprising:

• receiving, from a mobile device, a sequence of motion data characterizing movements performed by a target user;
• identifying, from the sequence of motion data, a plurality of identity blocks, wherein each identity block represents a different movement performed by the target user;
• from each identity block, encoding a set of signature sequences into a feature vector;
• inputting the feature vector into a machine-learned identity confidence model to output an identity confidence value for the identity block, wherein the identity confidence value describes a confidence that the movement in the identity block was performed by the target user;
• and
• granting the target user access to an operational context responsive to determining the identity confidence value is greater than an operational security threshold.