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...
Autors principals: | Di Xia, Yeqing Zhu, Heng Zhang |
---|---|
Format: | Article |
Idioma: | English |
Publicat: |
MDPI AG
2022-09-01
|
Col·lecció: | Sensors |
Matèries: | |
Accés en línia: | https://www.mdpi.com/1424-8220/22/19/7144 |
Ítems similars
-
Foot Pose Estimation Using an Inertial Sensor Unit and Two Distance Sensors
per: Pham Duy Duong, et al.
Publicat: (2015-07-01) -
Leg Joint Angle Estimation From a Single Inertial Sensor During Variety of Walking Motions: A Deep Learning Approach
per: Tsige Tadesse Alemayoh, et al.
Publicat: (2023-01-01) -
Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units
per: Hammad Tanveer Butt, et al.
Publicat: (2021-01-01) -
Pose Estimation Based on Bidirectional Visual–Inertial Odometry with 3D LiDAR (BV-LIO)
per: Gang Peng, et al.
Publicat: (2024-08-01) -
Plane-Aided Visual-Inertial Odometry for 6-DOF Pose Estimation of a Robotic Navigation Aid
per: He Zhang, et al.
Publicat: (2020-01-01)