Enabling Human Activity Learning by MachineKnitted Whole-Garment Sensing Wearables

Systems and methods are provided for estimating 3D poses of a subject based on tactile interactions with the ground. Test subject interactions with the ground are recorded using a sensor system along with reference information (e.g., synchronized video information) for use in correlating tactile information with specific 3D poses, e.g., by training a neural network based on the reference information. Then, tactile information received in response to a given subject interacting with the ground can be used to estimate the 3D pose of the given subject directly, ie., without reference to corresponding reference information. Certain exemplary embodiments use a sensor system in the form of a pressure sensing carpet or mat, although other types of sensor systems using pressure or other sensors can be used in various alternative embodiments.