Live Demonstration: Home Appliance Control System with Dynamic Hand Gesture Recognition base on 3D Hand Skeletons

Tsung Han Tsai, Yi Jhen Luo, Wei Chung Wan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In this paper, we present a two-stage lightweight convolutional neural network architecture on hand gesture recognition for home appliance control system. At the first stage, we utilize DetNet to detect the hand and generate 3D hand skeleton locations. At the second stage, a skeleton-based dynamic hand gesture recognition model is developed. We have 99.4% accuracy by the trained CNN model with our testing dataset. Besides, we implement this system on the Nvidia Jetson AGX Xavier to control the on/off of the fan and the light and the overall system achieve 15 fps.

原文???core.languages.en_GB???
主出版物標題Proceeding - IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面503
頁數1
ISBN(電子)9781665409964
DOIs
出版狀態已出版 - 2022
事件4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022 - Incheon, Korea, Republic of
持續時間: 13 6月 202215 6月 2022

出版系列

名字Proceeding - IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022

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???event.eventtypes.event.conference???4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022
國家/地區Korea, Republic of
城市Incheon
期間13/06/2215/06/22

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