Inherently associated with the evolution of advanced prosthetic technology is the development of advanced control strategies. These control systems aspire to facilitate more authentically biomimetic gaitBiomimetic gait. For example, electromyogram (EMG)Electromyogram (EMG) has been integrated into control algorithms in tandem with machine learningMachine learning to discern the movement status of the subject. Additionally, advanced surgical techniques have expanded opportunities for advanced powered prosthetic control. Furthermore, augmented processing capabilities are recommended, such as through smartwatchesSmartwatch, and wearables are envisioned for supplementing feedback that is instrumental for gait but unavailable in consideration of the implications of amputation. With the domain of artificial intelligenceArtificial intelligence rapidly expanding, a perspective of the capabilities provided by deep learningDeep learning is presented. In summary, advanced control strategies for powered prosthetic technology is progressing to the objective of gait that is more representative of a biomimeticBiomimetic context.