human skeleton
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Author(s):  
Wenxian Fan ◽  
Yebing Zou

Aiming at the problem of inaccurate matching results in the traditional three-dimensional reconstruction algorithm of gymnastic skeleton, a three-dimensional motion skeleton reconstruction algorithm of gymnastic dance action is proposed. Taking the center of gravity of the human body as the origin, the position of other nodes in the camera coordinate system relative to the center point of the human skeleton model is calculated, and the human skeleton data collection is completed through action division and posture feature calculation. Polynomial density is introduced into the integration of convolution surface, and the human body model of convolution surface is established according to convolution surface. By using the method of binary parameter matching, the accuracy of the matching results is improved, and the three-dimensional skeleton of gymnastic dance movement is reconstructed. The experimental results show that the fitting degree between the proposed method and the actual reconstruction result is 99.8%, and the reconstruction result of this algorithm has high accuracy.


2021 ◽  
pp. 23-78
Author(s):  
Jakub Benech

The presented article examines the early medieval settlement in Brno-Medlánky. The archaeological finds were evaluated to obtain settlement spatial development and to reveal the practical, social and natural dimension of the settlement after the synthesis of the evidence. The relevance of the site in relation to early medieval Brno was also considered. The large quantity of ceramics, which was essential for this research, was processed using the database of J. Macháček. This enabled me to date the settlement between the 6th/7th to the 9th/10th century and, based on quantification, to characterise the morphological and technological features of the complex. The archaeological material was also compared with the material from other similar sites. The results of this analysis were acquired from data in the graphs, figures and quantification tables. The other findings were processed using descriptive models. Scientific analyses have proven the presence of blacksmithing and iron metallurgy at the site. Agricultural activities and processing of leather and textile were also documented at the site. The typical cumulative structure was evaluated within the framework of spatial analyses, together with the form and spatial development of the settlement. Moreover, the article deals with the complete skeletons of two dogs and one horse, and the human skeleton found in a storage pit. The complete animal skeletons were probably deposited for hygienic reasons; the human skeleton possibly proves an execution.


Author(s):  
Amir Hakim Harahap

Classroom Action Research (CAR) was carried out to overcome the low science learning outcomes of Class IVa students at SD Negeri 192 Pekanbaru. This science learning problem is solved by applying the recitation method or giving assignment. This Classroom Action Research aims to improve the activities and learning outcomes of Science Class IVa students at SD Negeri 192 Pekanbaru by using the Recitation Method. This classroom action research is expected to be useful for writers, students, schools, and the Pekanbaru City Education Office. Based on research conducted by the author that by using the Resit Method, the learning outcomes of science on the human skeleton, its functions, and maintenance of Grade IVa students of SD Negeri 192 Pekanbaru increased significantly. Prior to the study the classical average was 67.40 or sufficient; in the first cycle to 68.40 (enough); and the result of the second cycle is 79.60 (competent). Completed or achieved KKM individually and classically increased; initially only 16 or 43.20% of students have finished studying; cycle I to 23 students or 62.20%; and in the second cycle as many as 34 students or 91.90%. In cycle II, learning was considered successful because students who achieved the KKM (70) were above 85%. Participants who fail will be given remedial learning. The results of observations, Class IVa students of SD Negeri 192 Pekanbaru using the Assignment Method, students study more diligently and study science more diligently. Based on the results of the study, the Assignment Giving Method succeeded in fixing the problem of low learning outcomes for IVa students at SDN 192 Pekanbaru for the 2019/2020.   Penelitian Tindakan Kelas (PTK) ini dilaksanakan untuk mengatasi rendahnya hasil belajar IPA Siswa Kelas IVa SD Negeri 192 Pekanbaru. Masalah belajar IPA ini diatasi dengan menerapkan Metode resitasi atau Pemberian Tugas. Penelitian Tindakan Kelas ini bertujuan untuk Untuk meningkatkan aktivitas dan hasil belajar IPA Siswa Kelas IVa SD Negeri 192 Pekanbaru dengan cara menggunakan Metode Resitasi. Penelitian tindakan Kelas ini diharapkan bermanfaat bagi penulis, siswa, sekolah, dan Dinas Pendidikan Kota Pekanbaru. Berdasarkan penelitian yang dilakukan oleh penulis bahwa dengan menggunakan Metode Resit hasil belajar IPA materi rangka manusia, fungsi, dan pemeliharaannya Siswa Kelas IVa SD Negeri 192 Pekanbaru meningkat secara signifikan. Sebelum penelitian rata-rata secara klasikal adalah 67,40 atau cukup; pada siklus I menjadi 68,40 (cukup); dan hasil siklus II adalah 79,60  (kompeten). Tuntas atau mencapai KKM secara individual dan klasikal meningkat; awalnya hanya 16 atau 43,20% siswa yang tuntas belajar;  siklus I menjadi 23 siswa atau 62,20%; dan pada siklus II sebanyak 34 siswa atau 91,90%. Pada siklus II, pembelajaran telah dianggap berhasil karena siswa yang mencapai KKM (70) telah di atas 85%. Peserta yang gagal akan dilakukan pembelajaran remedial. Hasil pengamatan, Siswa Kelas IVa SD Negeri 192 Pekanbaru dengan menggunakan Metode Pemberian Tugas siswa belajar lebih rajin dan tekun belajar IPA. Berdasarkan hasil penelitian pembelajaran Metode Pemberian Tugas berhasil memperbaiki masalah rendahnya hasil belajar siswa IVa SDN 192 Pekanbaru tahun ajaran 2019/2020.


2021 ◽  
Author(s):  
Sania Zahan ◽  
Ghulam Mubashar Hassan ◽  
Ajmal Mian

Author(s):  
Nicole A. Jastremski ◽  
Alejandra Sánchez-Polo

There is very little published literature regarding pre-Columbian burial practices that include human skeletal remains of the Napo culture (A.D. 1188–1480) in the western Amazon. Due to poor bone preservation and a history of looting practices, bioarchaeologists have rarely been able to collect, analyze, and interpret skeletal remains. Here, we provide the initial publication of a human skeleton from the Ecuadorian Amazon belonging to the Napo culture, preserved in a funerary urn acquired by the Museo de Arte Precolombino Casa del Alabado in Quito, Ecuador. This partial adult skeleton, radiocarbon dated to cal A.D. 1021–1155, consists primarily of broken long bones that indicate a robust individual with a height range of 160–170 cm. Although no trauma was observed, pathological conditions including cysts and likely Osgood-Schlatter’s disease were present and robust muscle insertions were noted. Taphonomic damage from termite osteophagy was inferred by the presence of round bore holes, cavities, tunneling, and cortical etching on the humerus, femur, and tibia. The urn itself is an anthropomorphic polychrome vessel that opens at the bottom, with six equally spaced holes to facilitate closure. The urn burial is similar to those of other Amazonian Polychrome Tradition cultures located to the east in Brazil.   Las prácticas funerarias precolombinas que incluyen restos humanos esqueléticos de la cultura Napo (1188–1480 D.C.), en el oeste de la Amazonía, han sido escasamente dadas a conocer en la literatura arqueológica. Debido a la pobre preservación de los huesos en ese medio y a una dilatada trayectoria de huaquerismo, desde la bioarqueología no ha sido posible recoger, analizar e interpretar restos humanos. Este artículo trata de solventar este vacío al atender desde una perspectiva bioarqueológica los restos óseos humanos provenientes de la Amazonía ecuatoriana pertenecientes a la cultura Napo, preservados en una urna funeraria que se conserva en el Museo de Arte Precolombino Casa del Alabado en Quito, Ecuador. Por un lado, este esqueleto parcial del que se conservan huesos largos fragmentados de un adulto fue datado mediante técnicas radiométricas entre 1021 y 1155 cal D.C.Habría sido una persona robusta, con una altura que oscilaría entre los 160 y 170 cm. Aunque no se ha observado ningún traumatismo, las patologías registradas incluyen quistes, como los debidos a la enfermedad de Osgood-Schlatter, e inserciones musculares robustas. Entre las afecciones tafonómicas más relevantes, se han apreciado las causadas por osteofagia de termitas, las cuales se infieren por la presencia de perforaciones redondas, cavidades, túneles y decapado cortical en húmero, fémur y tibia. Por otro lado, la urna es un ejemplar antropomorfo policromado de apertura basal con seis orificios espaciados que ayudaban a cerrarla. El entierro en urna es similar a aquellos otros de las culturas de la Tradición Polícroma Amazónica localizadas al este en Brasil.


2021 ◽  
Vol 17 (2) ◽  
pp. 183-189
Author(s):  
Heba Salim ◽  
Musaab Alaziz ◽  
Turki Abdalla

In this paper, a new method is proposed for people tracking using the human skeleton provided by the Kinect sensor, Our method is based on skeleton data, which includes the coordinate value of each joint in the human body. For data classification, the Support Vector Machine (SVM) and Random Forest techniques are used. To achieve this goal, 14 classes of movements are defined, using the Kinect Sensor to extract data containing 46 features and then using them to train the classification models. The system was tested on 12 subjects, each of whom performed 14 movements in each experiment. Experiment results show that the best average accuracy is 90.2 % for the SVM model and 99 % for the Random forest model. From the experiments, we concluded that the best distance between the Kinect sensor and the human body is one meter.


2021 ◽  
Vol 70 (9) ◽  
pp. 1354-1361
Author(s):  
Jeongseok Jeong ◽  
Byeongjun Park ◽  
Kyoungro Yoon

2021 ◽  
Author(s):  
Krasimir Tonchev ◽  
Agata Manolova ◽  
Radostina Petkova ◽  
Vladimir Poulkov

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