Abstract: A quantitative gait training and/or analysis system includes one or more footwear modules that may include a piezoresistive sensor, an inertial sensor and an independent logic unit. The footwear module functions to permit the extraction of gait kinematics and evaluation thereof in real time, or data may be stored for later reduction and analysis. Embodiments relating to calibration-based estimation of kinematic gait parameters are described, as well as biofeedback embodiments useful in training runners to maintain a time-varying target velocity or pace.

Abstract: A sensor apparatus for footwear includes at least one pair of light sources and at least one pair of light receivers, each light receiver being positioned and configured to receive light emitted from a respective one of the light sources. A pair of movable curtains functions to adjust the amount of light received by the pair of light receivers. The curtains are movable conjointly such that the amount of light received by one of the light receivers is inversely proportional to the amount of light received by the other light receiver. (FIG. 1B).

Abstract: A quantitative gait training and/or analysis system includes one or more footwear modules that may include a piezoresistive sensor, an inertial sensor and an independent logic unit. The footwear module functions to permit the extraction of gait kinematics and evaluation thereof in real time, or data may be stored for later reduction and analysis. Embodiments relating to calibration-based estimation of kinematic gait parameters are described.

Abstract: A quantitative gait training and/or analysis system includes one or more footwear modules that may include a piezoresistive sensor, an inertial sensor and an independent logic unit. The footwear module functions to permit the extraction of gait kinematics and evaluation thereof in real time, or data may be stored for later reduction and analysis. Embodiments relating to calibration-based estimation of kinematic gait parameters are described.

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 includes one or more footwear modules that may include a piezoresistive sensor, an inertial sensor and an independent logic unit. The footwear module functions to permit the extraction of gait kinematics and evaluation thereof in real time, or data may be stored for later reduction and analysis. Embodiments relating to calibration-based estimation of kinematic gait parameters are described.

Abstract: A rehabilitation machine can have a chassis with actuators positioned behind a patient area. The actuators can have supports projecting toward the patient area and can have respective adapters shaped to engage the legs of a patient at the thigh, the calf, and the foot while the patient is in a standing or walking posture. The actuators can also have motors, transition elements, and linkages connected to apply moments through the adapters to achieve, for each leg, hip adduction/abduction, hip flexion/extension, knee flexion/extension, and foot plantar flexion/dorsiflexion according to signals from a controller. The actuators can be confined to a space, largely behind the patient, such that free arm swing is permitted when the patient is attached.

Abstract: A quantitative gait training and/or analysis system includes a pair of footwear modules that may include a shank module and an independent processing module. Each footwear module may have a sole portion, a heel portion, a speaker, vibrotactile transducer and a wireless communication module. Sensors may permit the extraction of gait kinematics in real time and provide feedback from it. Embodiments may store data for later reduction and analysis. Embodiments employing calibration-based estimation of kinematic gait parameters are described.

Abstract: A rehabilitation machine can have a chassis with actuators positioned behind a patient area. The actuators can have supports projecting toward the patient area and can have respective adapters shaped to engage the legs of a patient at the thigh, the calf, and the foot while the patient is in a standing or walking posture. The actuators can also have motors, transition elements, and linkages connected to apply moments through the adapters to achieve, for each leg, hip adduction/abduction, hip flexion/extension, knee flexion/extension, and foot plantar flexion/dorsiflexion according to signals from a controller. The actuators can be confined to a space, largely behind the patient, such that free arm swing is permitted when the patient is attached.