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  • 标题:Pose and motion capture technologies
  • 本地全文:下载
  • 作者:Arun Fabian Panaite ; Sebastian Rosca ; Remus Sibişanu
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2021
  • 卷号:342
  • 页码:1-10
  • DOI:10.1051/matecconf/202134205004
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The multitude of sensors, transducers and data acquisition systems used in the ever-increasing domains of today’s industry, were designed and created on a purpose-based agenda. Most of these technologies were rarely used for different purposes then the ones they were meant for. This research, explores the possibility of using those technologies for the purpose of motion capture. The results of the motion capture data acquisition can further be used for other purposes, itself. Because the motion capture data isn’t calculated, but only captured, the compression algorithms may result in mathematical formulas of motion, which can be the same formulas of calculating the motion synthetically. The same way the parameters and formulas are being calculated for a robot’s movement, motion can be captured, and the key position parameters can be selected, and implemented on the movement, while not only making the movement more natural, but saves time during the programming process.
  • 关键词:health;safety;computer vision;wearable;sensors
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