A hybrid computer vision and Wi-Fi Doppler radar system for capturing the 3-D hand gesture trajectory with a smartphone

Mu Cyun Tang, Chien Lun Chen, Min Hui Lin, Fu Kang Wang, Chia Hung Yeh, Tzyy Sheng Horng

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a 3-D hand gesture capture technique using the 2D camera and Wi-Fi connection signals of a smartphone. The motion detection principle of this technique involves combining the algorithm of pixel-based computer vision and the extraction of Doppler shift from the reflected Wi-Fi signals. Moreover, a joint displacement calibration procedure is proposed to transform the camera pixel coordinates to the radar space coordinates. This technique has the advantages of lower computation resources and power consumption than the current counterparts and requires no extra cameras and RF transmission sources when used on a smartphone.

原文英語
主出版物標題2017 IEEE MTT-S International Microwave Symposium, IMS 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1251-1254
頁數4
ISBN(電子)9781509063604
DOIs
出版狀態已發佈 - 2017 10月 4
對外發佈
事件2017 IEEE MTT-S International Microwave Symposium, IMS 2017 - Honololu, 美国
持續時間: 2017 6月 42017 6月 9

出版系列

名字IEEE MTT-S International Microwave Symposium Digest
ISSN(列印)0149-645X

會議

會議2017 IEEE MTT-S International Microwave Symposium, IMS 2017
國家/地區美国
城市Honololu
期間2017/06/042017/06/09

ASJC Scopus subject areas

  • 輻射
  • 凝聚態物理學
  • 電氣與電子工程

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