Air-writing for smart glasses by effective fingertip detection

Yung Han Chen, Po Chyi Su, Feng Tsun Chien

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

This research investigates real-time fingertip detection in RGB images/frames captured from such wearable devices as smart glasses. A modified Mask Regional Convolutional Neural Network (Mask R-CNN) is proposed with one region-based CNN for hand detection and another three-layer CNN for locating the fingertip. The processing speed is high enough to facilitate several interesting applications. One application is to trace the location of a user's fingertip from first-person perspective to form writing trajectories. A text input mechanism for smart glasses can thus be implemented to enable a user to write letters/characters in air as the input and even interact with the system using simple gestures. Experimental results demonstrate the feasibility of this new text input methodology.

原文???core.languages.en_GB???
主出版物標題2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面381-382
頁數2
ISBN(電子)9781728135755
DOIs
出版狀態已出版 - 10月 2019
事件8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
持續時間: 15 10月 201918 10月 2019

出版系列

名字2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

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???event.eventtypes.event.conference???8th IEEE Global Conference on Consumer Electronics, GCCE 2019
國家/地區Japan
城市Osaka
期間15/10/1918/10/19

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