Chakravarthi, B and Prabhu Prasad, BM and Chethana, B and Pavan Kumar, BN (2022) Real-time Human Motion Tracking and Reconstruction using IMU Sensors. In: 022 2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022Prague20 J 2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET, 20 - 22 July 2022, Prague.
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Abstract
Human body-strap-based, and sensor-mounted clothing-based easy-to-wear motion capture systems have generated a lot of interest and been thoroughly investigated in recentm times. Body movements are typically assessed using miniature inertial measurement unit (IMU) sensors. Based on body strap IMU sensors, this paper presents a system enabling real-time human motion monitoring and reconstruction. To track fullbody motions, the system utilizes a human-body kinematicsassured orientation and position estimation technique. A threedimensional (3D) humanoid model-based motion reconstruction module is included, letting people visualize human motions in real-time. Furthermore, We can edit the motion data that has already been captured and validate joint-segment kinematics. Finally, we utilize complicated yoga exercise movements to demonstrate the accuracy in terms of orientation estimation.
Item Type: | Conference Paper |
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Publication: | International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc. |
Keywords: | 3D modeling; Hosiery manufacture; Motion analysis; Three dimensional computer graphics, And visualization; Human bodies; Human motion reconstruction; Human motion tracking; Human motions; Inertial measurements units; Motion reconstruction; Motion tracking; Orientation estimation; Real- time, Kinematics |
Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
Date Deposited: | 19 Oct 2022 09:51 |
Last Modified: | 19 Oct 2022 09:51 |
URI: | https://eprints.iisc.ac.in/id/eprint/77461 |
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