  This survey paper concerns Sensor Fusion for Predictive Control of
Human-Prosthesis-Environment Dynamics in Assistive Walking. The powered lower
limb prosthesis can imitate the human limb motion and help amputees to recover
the walking ability, but it is still a challenge for amputees to walk in
complex environments with the powered prosthesis. Previous researchers mainly
focused on the interaction between a human and the prosthesis without
considering the environmental information, which can provide an environmental
context for human-prosthesis interaction. Therefore, in this review, recent
sensor fusion methods for the predictive control of
human-prosthesis-environment dynamics in assistive walking are critically
surveyed. In that backdrop, several pertinent research issues that need further
investigation are presented. In particular, general controllers, comparison of
sensors, and complete procedures of sensor fusion methods that are applicable
in assistive walking are introduced. Also, possible sensor fusion research for
human-prosthesis-environment dynamics is presented.
