Virtual skeletons and digital muscles: an experimental bioarchaeological approach to the pre-hispanic production of millstones (tenerife, canary islands)

Jared Carballo-Perez, Norberto Marrero-Gordillo, Alberto Lacave-Hernandez,Matilde Arnay-de-la-Rosa

Virtual Archaeology Review(2023)

引用 0|浏览1
暂无评分
摘要
Understanding the physical impact of ancient labours has become an important experimental bioarchaeology area. Complex motion capture systems and digital tools have been used in biomechanical analysis during the reproduction of manual tasks. However, these systems are costly, so the researchers have explored alternative digital solutions. Therefore, the open-access Kinovea software was checked to confirm its reliability in characterizing the physical loads associated with particular works of ancient times. In this case study, the authors have analyzed the central postural angles and muscle chains involved in the indigenous manufacturing process of rotary stone mills, in the high mountains of Tenerife. The study included a virtual motion capture analysis carried out during the different phases of the experimental reproduction of this process; it was defined from the archaeological record of the quarries-workshops of Las Canadas del Teide National Park (Canary Islands, Spain) volcanic millstones. The results of this study have demonstrated the software's effectiveness to virtually analyze the significant differences in posture between work techniques, observing a predominance of the use of m. biceps brachii, the m. brachioradialis, and the elbow joint during the manufacture of stone mills. On the other hand, Kinovea also has excellent potential in virtual archaeology, giving users tools to generate the average postural angles. As a result, building "virtual skeletons" in more precise work postures has been possible. This may serve as the base element to create complete body representations in virtual environments.
更多
查看译文
关键词
open -access software,virtual archaeology,biomechanics,experimental archaeology,indigenous people
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要