A Low Power, Fully Event-Based Gesture Recognition System

559 indexed citations

Abstract

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This paper, published in 2017, received 559 indexed citations. Written by Arnon Amir, Brian Taba, David Van Den Berg, Jeffrey L. McKinstry, Carmelo di Nolfo, Tapan K. Nayak, Alexander Andreopoulos, Guillaume Garreau, Jeff Kusnitz and Michael DeBole covering the research area of Electrical and Electronic Engineering and Human-Computer Interaction. It is primarily cited by scholars working on Electrical and Electronic Engineering (465 citations), Cognitive Neuroscience (251 citations) and Artificial Intelligence (194 citations). Published in .

Countries where authors are citing A Low Power, Fully Event-Based Gesture Recognition System

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Fields of papers citing A Low Power, Fully Event-Based Gesture Recognition System

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Low Power, Fully Event-Based Gesture Recognition System. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Low Power, Fully Event-Based Gesture Recognition System.

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This paper is also available at doi.org/10.1109/cvpr.2017.781.

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