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FMKit - An In-Air-Handwriting Analysis Library and Data Repository

小编 映维   |   分类：CV / XR   |  

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PubDate: June 2020

Teams: Arizona State University

Writers: Duo Lu, Linzhen Luo, Dijiang Huang, Yezhou Yang

PDF: FMKit - An In-Air-Handwriting Analysis Library and Data Repository

Project: FMKit - An In-Air-Handwriting Analysis Library and Data Repository

Abstract

Hand-gesture and in-air-handwriting provide ways for users to input information in Augmented Reality (AR) and Virtual Reality (VR) applications where a physical keyboard or a touch screen is unavailable. However, understanding the movement of hands and fingers is challenging, which requires a large amount of data and data-driven models. In this paper, we propose an open research infrastructure named FMKit for in-air-handwriting analysis, which contains a set of Python libraries and a data repository collected from over 180 users with two different types of motion capture sensors. We also present three research tasks enabled by FMKit, including in-air-handwriting based user authentication, user identification, and word recognition, and preliminary baseline performance.

本文链接：https://paper.nweon.com/2694

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