Abstract: Examples described herein relate to detection of intra-body device slips. Values are processed by a system. The values include at least one of: measurements by one or more sensors of an intra-body device, power levels of wireless data transmissions transmitted by one or more antennas of the intra-body device, or power levels of wireless data transmissions received by the one or more antennas of the intra-body device. A slip likelihood is established based on the processed values. The slip likelihood is a likelihood of the intra-body device having slipped out from a cavity of a person. The system detects that the slip likelihood has reached or exceeded a predetermined level, and identifies that the intra-body device has slipped out from the cavity of the person. A tracking procedure of the system may be controlled based on identifying that the intra-body device has slipped out from the cavity of the person.

Abstract: Disclosed is a computer-implemented method. The method comprises processing, by at least one computing device, first measurements taken at least while a person performs a predetermined physical exercise, wherein the first measurements are taken by at least one motion tracking device, at least one optical sensor, or both. The method also comprises processing, by the at least one computing device, second measurements taken at least while the person performs the predetermined physical exercise, wherein the second measurements are taken by a pelvic sensor. The method also comprises determining, by at least one computing device, whether the person has performed the predetermined physical exercise based on the first measurements and the second measurements according to criteria associated with the predetermined physical exercise.