BLSTM-RNN Based 3D Gesture Classification

Abstract

This paper presents a new robust method for inertial MEM (MicroElectroMechanical systems) 3D gesture recognition. The linear acceleration and the angular velocity, respectively provided by the accelerometer and the gyrometer, are sampled in time resulting in 6D values at each time step which are used as inputs for the gesture recognition system. We propose… (More)
DOI: 10.1007/978-3-642-40728-4_48

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