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Design and Validation of a Torso-Dynamics Estimation System (TES) for Hands-Free Physical Human-Robot Interaction*

Seung Yun Song, Yixiang Guo, Chentai Yuan, Nadja Marin, Chenzhang Xiao, Adam Bleakney, Jeannette Elliott, João Ramos, Elizabeth T. Hsiao‐Wecksler

Year
2023
Citations
5
Access
Open access

Abstract

<p>This is a submitted draft of a paper on the design and validation of a Torso-dynamics Estimation System (TES). The TES consisted of a Force Sensing Seat (FSS) and an inertial measurement unit (IMU) that measured the kinetics and kinematics of the subject's torso motions. The FSS estimated the 3D forces, 3D moments, and 2D COPs while the IMU estimated the 3D torso angles. To validate the TES, the FSS and IMU estimates were compared to gold standard research equipment (AMTI force plate and Qualisys motion capture system, respectively).</p> <p>Potential applications of the TES include physical human-robot interaction (pHRI) for navigating riding or remote robots.</p> <p>The data and data processing code from this study are open source and can be found via the following links:</p> <ul> <li>IEEE DataPort with data: https://ieee-dataport.org/documents/validation-study-torso-dynamics-estimation-system-tes-hands-free-physical-human-robot </li> <li>GitHub repository with code: https://github.com/ssong47/TorsodynamicsEstimationSystem </li> </ul> <p><br></p>

Keywords

TorsoInertial measurement unitKinematicsRobotSimulationMotion captureComputer scienceMotion (physics)Computer visionPhysics

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