include sensors that are disposed on distal portions of a user’s fingers as well as additional sensors configured to detect motion of the user’s shoulders. Thus, various combinations of sensor geometries and sensor locations are contemplated as the disclosure is not so limited. In the depicted embodiment, the system may also include a processor 110 and associated memory 112 corresponding to computer readable medium including processor executable instructions. The processor may be operatively connected to the plurality of sensors using any appropriate form of communication including wireless communication as illustrated by a wireless communication system 114 operatively connected to the processor. However, embodiments in which the processor is connected to the sensors using wired arrangements are also contemplated. In either case, the signals from the plurality of sensors may be received by the processor which may then execute instructions stored in the associated memory that when executed perform any of the various methods described herein to identify one or more commands from a user to control operation of one or more associated portions of a system. [0038] FIG. 2 shows one embodiment of a system being used in a task. In this embodiment, a plurality of sensors 100 disposed on a portion of a user’s body, which in this case are the fingertips of the user, may be used to control a system 106. In this case, the system may be a pair of supernumerary robotic limbs (SRLs). As a user’s hands are occupied with performing a task with an object 108, the system 106 may aide the user in completing the task and/or performing any other desired operation. For example, the user may be engaged in a grinding task, which may involve the use of both hands to hold a grinding tool. As the user performs the grinding task, the pair of SRLs may support the user and keep the user in a steady position. The user may send commands to a processor of the SRLs without releasing the grinding tool, but rather by adjusting the distribution of forces applied to the grinding tool by the user’s fingertips. The distribution of forces may be sensed by the plurality of sensors and may be sent to the processor. The processor may include look up tables, equations, a data matrix, a trained model, and/or any other appropriate method that may be used to define an operational range and/or null space associated with signals from the plurality of signals during performance of the task. Accordingly, the processor may compare the signals from the current grinding task with the expected operational range and/or null