A myography system and method can compensate for background noise in order to analyze data indicative of muscle contraction. Compensating for background noise may include any of: removing a model of the actual background noise from frequency data obtained from a myography sensor, identifying which myography sensor from among a plurality of myography sensors is located at a muscle likely undergoing contraction, and narrowing the analysis to searching for the type of muscular contraction (e.g., concentric, isometric, or eccentric) that is likely to be occurring. A model of the actual background noise can be obtained through use of myography sensors on different parts of the moving body. The muscles which are likely to be under contraction and the types of muscle contraction that are likely to be occurring at those muscles can be identified through use of motion capture devices, such as imaging devices and inertial measurement units.
