A prosthetic foot comprising a foot part, a proximal connecting member which is swiveled to the foot part and an adjustment device with which the foot part can be adjusted relative to the connecting member, and at least one position sensor associated with the adjustment device and being coupled to a signal generating element.

Machine-human interface (MHI) systems for control of powered external movement devices, such as prosthetics (e.g., prosthetic hands and/or arms), are provided, as well as methods of using the same. The efficient MHI systems leverage features of computer vision and pattern recognition to examine the subjects and/or objects within the field of view of a user of the system, and then uses artificial intelligence and/or machine learning to guess the user's intention. Once the user acknowledges the guessed intention, the MHI system can measure the location of the targeted subject/object using a measuring means (e.g., using Light Detection and Ranging (LIDAR) technology) and then coordinate the movement of the external movement device (e.g., prosthetic arm and/or hand).