RobCap: A Mobile Motion Capture System Mounted on a Robotic Arm

被引:3
作者
Alshamaa, Daniel [1 ]
Cherubini, Andrea [1 ]
Passama, Robin [1 ]
Pla, Simon [2 ]
Damm, Loic [2 ]
Ramdani, Sofiane [1 ]
机构
[1] Univ Montpellier, CNRS, LIRMM, F-34000 Montpellier, France
[2] Univ Montpellier, EuroMov, F-34000 Montpellier, France
关键词
Motion capture; robotic arm; error; rigid transformation; system calibration; SENSOR; TRACKING; ACCURACY; VALIDITY; WALKING; FUSION;
D O I
10.1109/JSEN.2021.3128386
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
FixedMotion Capture systems (Mocap) are wellestablished nowadays and are available in indoor and outdoor environments. Here, we introduce RobCap, a Moving Motion Capture System designed for acquiring accurate three-dimensional kinematics of human motion with large displacements. RobCap consists of an optoelectronicMocap (Codamotion) mounted on a robotic arm, to track the human motion in the local moving frame. This paper presents this device and expresses the local kinematics of the markers in a global coordinate system. We have acquired a set of 560 measurements, by controlling the Robotic arm to follow the subject's movement and to track the markers attached to his wrist. The performance of the RobCap is evaluated through comparison with state-of-the-art technologies. The 3D error is found to be 9.7 +/- 4.1 mm and 3.9 +/- 0.8 mm, respectively without and with calibration. RobCap increases the nominal capture volume of the fixedMocap from 75 m(3) to 523m(3) and the operational volume from105m(3) to 1436m(3). Our findings show that the RobCap is accurate and precise enough to be used as a mobile Mocap system for large displacements.
引用
收藏
页码:917 / 925
页数:9
相关论文
共 50 条
[21]   A novel data glove using inertial and magnetic sensors for motion capture and robotic arm-hand teleoperation [J].
Fang, Bin ;
Sun, Fuchun ;
Liu, Huaping ;
Guo, Di .
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2017, 44 (02) :155-165
[22]   Application of the Motion Capture System to Estimate the Accuracy of a Wheeled Mobile Robot Localization † [J].
Dudzik, Sebastian .
ENERGIES, 2020, 13 (23)
[23]   Research on motion trajectory planning of the robotic arm of a robot [J].
Xinghua Miao ;
Huansen Fu ;
Xiangqian Song .
Artificial Life and Robotics, 2022, 27 :561-567
[24]   Research on motion trajectory planning of the robotic arm of a robot [J].
Miao, Xinghua ;
Fu, Huansen ;
Song, Xiangqian .
ARTIFICIAL LIFE AND ROBOTICS, 2022, 27 (03) :561-567
[25]   A Drone-mounted Depth Camera-based Motion Capture System for Sports Performance Analysis [J].
Jacobsson, Martin ;
Willen, Jonas ;
Swaren, Mikael .
ARTIFICIAL INTELLIGENCE IN HCI, AI-HCI 2023, PT II, 2023, 14051 :489-503
[26]   Commanding an Anthropomorphic Robotic Hand with Motion Capture Data [J].
Crammond, Alexander ;
Boggio, Crystal ;
Delinger, Jared C. ;
Jones, Sean, I ;
Katafiasz, Adam ;
Isenberg, Douglas R. .
2019 IEEE SOUTHEASTCON, 2019,
[27]   Integration of Robotic Arm with Vision System [J].
Reddy, MademRavitej ;
Nagaraja, S. R. .
2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, :96-100
[28]   Evaluating 3D Human Motion Capture on Mobile Devices [J].
Reimer, Lara Marie ;
Kapsecker, Maximilian ;
Fukushima, Takashi ;
Jonas, Stephan M. .
APPLIED SCIENCES-BASEL, 2022, 12 (10)
[29]   Using Motion Capture System to Analyze Side Arm Throw Form for Flying Disc Training [J].
Takeuchi, Masataka ;
Endo, Hisayoshi ;
Enomoto, Yusuke ;
Terada, Shuhei ;
Hanawa, Dai ;
Oguchi, Kimio .
6TH WORLD CONGRESS OF BIOMECHANICS (WCB 2010), PTS 1-3, 2010, 31 :240-+
[30]   The Use of IMU MEMS-Sensors for Designing of Motion Capture System for Control of Robotic Objects [J].
Ivanov, Artem V. ;
Zhilenkov, Anton A. .
PROCEEDINGS OF THE 2018 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS), 2018, :890-893