Abstract: Rehabilitation or ambulation assistance can be provided to a user by sensing at least one first pressure beneath the user's right foot, sensing at least one second pressure beneath the user's left foot, and predicting the user's gait based on the sensed at least one first pressure and the sensed at least one second pressure. A plurality of motors are energized at a plurality of times that are synchronized with phases of the user's gait so that the plurality of motors pull on respective cables at respective times in a coordinated sequence. Each of the cables has a first end affixed to a pelvic belt or harness that is shaped and dimensioned to fit securely on the user's pelvis, and the timing of the energizing is based on the gait predictions.

Abstract: A quantitative gait training and/or analysis system employs instrumented footwear and an independent processing module. The instrumented footwear may have sensors that permit the extraction of gait kinematics in real time and provide feedback from it. Embodiments employing calibration-based estimation of kinematic gait parameters are described. An artificial neural network identifies gait stance phases in real-time.

Abstract: A quantitative gait training and/or analysis system employs instrumented footwear and an independent processing module. The instrumented footwear may have sensors that permit the extraction of gait kinematics in real time and provide feedback from it. Embodiments employing calibration-based estimation of kinematic gait parameters are described. An artificial neural network identifies gait stance phases in real-time.