Testing and evaluation strategies are imperative to establish the efficacy of an experimental powered prosthesis. Biomechanical gait analysis applies the synthesis of equipment, such as force platesForce plate and optical motion capture, to acquire kineticKinetics and kinematicKinematics parameters. These parameters derive joint characteristics, such as work and power, which can be applied to contrast novel prosthetic platforms. Other gait analysis equipment, such as electromyogram and metabolic analyzers, can determine muscle activation patterns and trends respectively of metabolic efficiency while walking. New gait analysis devices function as mobile and wireless platforms. The smartphone and portable media devices are equipped with accelerometer and gyroscope sensors that can remotely monitor gait activity. Traditionally, statistical significance is applied to establish a scientifically meaningful disparity between disparate sets of data. However, in the recent decade machine learning has been demonstrated to classify and distinguish between aspects of a feature set implying the eventual capacity to diagnose. Foundational to testing and evaluating transtibial prostheses are the prosthetic alignment procedure and acclimation timeframe.