Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data. (arXiv:2401.17064v1 [cs.RO])

As intelligent systems become increasingly important in our daily lives, new
ways of interaction are needed. Classical user interfaces pose issues for the
physically impaired and are partially not practical or convenient. Gesture
recognition is an alternative, but often not reactive enough when conventional
cameras are used. This work proposes a Spiking Convolutional Neural Network,
processing event- and depth data for gesture recognition. The network is
simulated using the open-source neuromorphic computing framework LAVA for
offline training and evaluation on …

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