Design of upper limb posture detection and trajectory matching based on motion capture

Linlin Wang; Siyi Li; Hao Liu; Kunshuo Xie

doi:10.1117/12.2689915

7 September 2023 Design of upper limb posture detection and trajectory matching based on motion capture

Linlin Wang, Siyi Li, Hao Liu, Kunshuo Xie

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127902R (2023) https://doi.org/10.1117/12.2689915
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

As biomechanics research evolves, the significance of motion capture technology in domains like film and television, gaming, and motion training is progressively gaining prominence, with an expanding repertoire of applications. Optical motion capture, employing optical dynamic capture equipment founded on a 3D imaging analysis system within a specified setting, stands as the most mature technique. However, its high cost and constraints pertaining to venue and environmental factors limit its usage. Conversely, inertial motion capture devices, functional under non-optical conditions, can cater to the needs of the broader public. To further enhance affordability, portability, and simplification of the device, this study proposes an embedded system design grounded on a nine-axis inertial sensor. It captures the posture of each joint in the human upper limb and wirelessly transmits the data to the Unreal Engine 3Darmmodel for action replication and motion trajectory delineation. Thus, it generates feedback results facilitating remote motion control.

Citation Download Citation

Linlin Wang, Siyi Li, Hao Liu, and Kunshuo Xie "Design of upper limb posture detection and trajectory matching based on motion capture", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127902R (7 September 2023); https://doi.org/10.1117/12.2689915

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