Abstract: An optimized method for identifying robot pouring regions based on hierarchical processing and connectivity maximization and a system thereof, wherein the optimized method includes: rough identification stage: identifying and positioning, according to working characteristics of mobile robot, target container through vision module when a distance from target region is relatively far, and generating information collection position of target container required for fine identification according to the positioning; fine identification stage: obtaining, by mobile robot, information of target container and source container, and generating corresponding connectable domains, then identifying and optimizing robot pouring region by using connectivity maximization method. It solves problems of autonomous identification of pouring region of the mobile robot, can be applied to most target containers and source containers, and enhances the generalization ability of robot pouring manipulation skills.

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 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.