IMU-BASED CLASSIFICATION OF LOCOMOTION MODES, TRANSITIONS, AND GAIT PHASES WITH CONVOLUTIONAL RECURRENT NEURAL NETWORKS

IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks

This paper focuses on the classification of seven locomotion modes (sitting, standing, 2006 scion xa catalytic converter level ground walking, ramp ascent and descent, stair ascent and descent), the transitions among these modes, and the gait phases within each mode, by only using data in the frequency domain from one or two inertial measurement un

read more


Strategic tradeoffs in competitor dynamics on adaptive networks

Abstract Recent empirical work highlights the heterogeneity of social competitions such as political campaigns: proponents of some ideologies seek debate and conversation, others create echo chambers.While symmetric and static network structure is typically used as a substrate to study such competitor dynamics, network structure can instead be inte

read more