Faster Deep Inertial Pose Estimation with Six Inertial Sensors

Faster Deep Inertial Pose Estimation with Six Inertial Sensors

We propose a novel pose estimation method that can predict the full-body pose from six inertial sensors worn by the user. This method solves problems encountered in vision, such as occlusion or expensive deployment. We address several complex challenges. First, we use the SRU network structure inste...

書誌詳細
主要な著者:	Di Xia, Yeqing Zhu, Heng Zhang
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2022-09-01
シリーズ:	Sensors
主題:	pose estimation SRU sparse inertial sensor occlusion
オンライン･アクセス:	https://www.mdpi.com/1424-8220/22/19/7144

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