Publication: Real-time gesture interface based on event-driven processing from stereo silicon retinas
Real-time gesture interface based on event-driven processing from stereo silicon retinas
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Lee, J.-H., Delbruck, T., Pfeiffer, M., Park, P. K. J., Shin, C.-W., Ryu, H., & Kang, B. C. (2014). Real-time gesture interface based on event-driven processing from stereo silicon retinas. IEEE Transactions on Neural Networks and Learning Systems, 25(12), 2250–2263. https://doi.org/10.1109/TNNLS.2014.2308551
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We propose a real-time hand gesture interface based on combining a stereo pair of biologically inspired event-based dynamic vision sensor (DVS) silicon retinas with neuromorphic event-driven postprocessing. Compared with conventional vision or 3-D sensors, the use of DVSs, which output asynchronous and sparse events in response to motion, eliminates the need to extract movements from sequences of video frames, and allows significantly faster and more energy-efficient processing. In addition, the rate of input events depends on the obs
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Lee, J.-H., Delbruck, T., Pfeiffer, M., Park, P. K. J., Shin, C.-W., Ryu, H., & Kang, B. C. (2014). Real-time gesture interface based on event-driven processing from stereo silicon retinas. IEEE Transactions on Neural Networks and Learning Systems, 25(12), 2250–2263. https://doi.org/10.1109/TNNLS.2014.2308551