scholarly journals Dance Tempo Estimation Using a Single Leg-Attached 3D Accelerometer

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8066
Author(s):  
Sara Stančin ◽  
Sašo Tomažič

We present a methodology that enables dance tempo estimation through the acquisition of 3D accelerometer signals using a single wearable inertial device positioned on the dancer’s leg. Our tempo estimation method is based on enhanced multiple resonators, implemented with comb feedback filters. To validate the methodology, we focus on the versatile solo jazz dance style. Including a variety of dance moves, with different leg activation patterns and rhythmical variations, solo jazz provides for a highly critical validation environment. We consider 15 different solo jazz dance moves, with different leg activation patterns, assembled in a sequence of 5 repetitions of each, giving 65 moves altogether. A professional and a recreational dancer performed this assembly in a controlled environment, following eight dancing tempos, dictated by a metronome, and ranging from 80 bpm to 220 bpm with 20 bpm increment steps. We show that with appropriate enhancements and using single leg signals, the comb filter bank provides for accurate dance tempo estimates for all moves and rhythmical variations considered. Dance tempo estimates for the overall assembles match strongly the dictated tempo—the difference being at most 1 bpm for all measurement instances is within the limits of the established beat onset stability of the used metronome. Results further show that this accuracy is achievable for shorter dancing excerpts, comprising four dance moves, corresponding to one music phrase, and as such enables real-time feedback. By providing for a dancer’s tempo quality and consistency assessment, the presented methodology has the potential of supporting the learning process, classifying individual level of experience, and assessing overall performance. It is extendable to other dance styles and sport motion in general where cyclical patterns occur.

Author(s):  
Muhamad Afandi ◽  
Sari Yustiana

The purpose of this study is mainly to describe the performance of primary school teachersin the unit of education technical implementation in Banyumanik, Semarang. This researchwas conducted in January- August 2017. The sample of this research is 162 primaryschool teachers selected by random sampling technique in order to get the same opportunityas sample. The instruments used in this study were the assessment sheets, the RatingSheet consisted of 64 items of question, and 3 indicators of Primary School TeacherPerformance. The results show that each of Implementation of lesson plans is categorizedvery well (90, 9%), the execution of the learning is 83.4%, assessment of learning is good(82.8%). The Overall performance of primary school teachers is categorized good( 85 , 7 % ). In other words, the primary school teachers of the unit of education technicalimplementation in Banyumanik Semarang can arrange the lesson plans, carry out learningand teaching process and assess the learning process in elementary school.


2018 ◽  
Vol 7 (3) ◽  
pp. 1124 ◽  
Author(s):  
Andino Maseleno ◽  
Noraisikin Sabani ◽  
Miftachul Huda ◽  
Roslee Ahmad ◽  
Kamarul Azmi Jasmi ◽  
...  

This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is defined as a way to measure, collect, analyse and report data about learners and their context, for the purpose of understanding and optimizing learning. The paper concludes by highlighting framework of learning analytics in order to improve personalised learning. In addition, it is an endeavour to define the characterising features that represents the relationship between learning analytics and personalised learning environment. The paper proposes that learning analytics is dependent on personalised approach for both educators and students. From a learning perspective, students can be supported with specific learning process and reflection visualisation that compares their respective performances to the overall performance of a course. Furthermore, the learners may be provided with personalised recommendations for suitable learning resources, learning paths, or peer students through recommending system. The paper’s contribution to knowledge is in considering personalised learning within the context framework of learning analytics. 


2021 ◽  
Vol 9 (17) ◽  
pp. 26-39
Author(s):  
Hugo Wladimir Iza Benítez ◽  
Diego Javier Reinoso Chisaguano

UFMC (Universal Filtered Multi-Carrier) is a novel multi-carrier transmission technique that aims to replace the OFDM (Orthogonal Frequency Division Multiplexing) modulation technique for fifth generation (5G) wireless communication systems. UFMC, being a generalization of OFDM and FBMC (Filter Bank Multicarrier), combines the advantages of these systems and at the same time avoids their main disadvantages. Using a Matlab simulation, this article presents an analysis of the robustness of UFMC against fading effects of multipath channels without using a CP (cyclic prefix). The behavior of the UFMC system is analyzed in terms of the PSD (Power Spectral Density), BER (Bit Error Rate) and MSE (Mean Square Error). The results show that UFMC reduces the out-band side lobes produced in the PSD of the processed signal. Also, it is shown that the pilot-assisted channel estimation method applied in OFDM systems can also be applied in UFMC systems.


2020 ◽  
Vol 2 (2) ◽  
pp. 94-104
Author(s):  
Yusuf Budi Prasetya Santosa ◽  
Fahmi Hidayat

The use of varied learning models by history teachers will facilitate teachers and students in implementing and following the learning process. This study aims to determine the learning process and the use of learning models used by history teachers. This study uses a qualitative methodology with an observation and interview approach conducted at two high schools, Dian Didaktika High School and SMA Negeri 2 Depok. From the results of the study it can be seen, that the history teacher at the two schools has carried out the learning process using a scientific approach. There is no difference in the selection of learning strategies, both of them use the contextual teaching learning model. The difference between the two is in the selection of learning methods, where the history teacher Dian Didaktika uses the method of learning project base learning and the history teacher of SMA Negeri 2 Depok uses a method of learning outside the classroom by visiting museums.


2021 ◽  
Vol 12 (1) ◽  
pp. 229-236
Author(s):  
Tri Yuni Hendrowati ◽  
Rahma Faelasofi

The COVID-19 pandemic requires the learning process to take place online, this has an impact on teachers who are required to creatively innovate unusual learning processes. This research aims to determine the difference in the average learning outcomes of students during online learning between the application of learning videos before and after receiving the learning video intervention treatment. The research instrument used was a test of statistics material. The learning outcomes test data obtained were processed by paired t-test. This research found that there was a difference in the average learning outcomes of students before and after the application of learning videos. The application of learning videos provides better learning outcomes than before using learning videos.


2016 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
Betty Yulia Wulansari ◽  
Sugito Sugito

Tujuan penelitian ini adalah: (1) untuk mengembangkan model pembelajaran berbasis alam untuk anak usia dini, dan (2) untuk mengetahui perbedaan kualitas proses belajar antara Model PBA dan model pembelajaran konvensional. Metode penelitian ini adalah penelitian pengembangan. Data dikumpulkan menggunakan lembar observasi dan lembar catatan lapangan. Data kualitatif dianalisis menggunakan analisis deskriftif dan data kuantatif dianalisis menggunakan analisis independent sample t-test. Hasil penelitian ini adalah (1) produk penelitian ini adalah Model PBA untuk anak usia dini. Prinsip pembelajarannya yaitu belajar tentang alam, belajar dengan menggunakan alam, dan belajar bersama alam, dan (2) ada perbedaan kualitas proses belajar yang signifikan antara model Model PBA dan pembelajaran konvensional dan. Hal ini ditunjukkan oleh hasil SPSS 16 uji terbatas yaitu thit= -3,008< ttabel= -1,717  dan hasil uji diperluas yaitu nilai thit= -2,159< ttabel= -2,024. Model PBA dapat meningkatkan kualitas proses belajar anak karena model ini mengakomodasi karakteristik belajar anak.Kata Kunci: model pembelajaran berbasis alam, anak usia dini, proses belajar Developing Nature-Based Learning Model for Improving Learning Process Quality of Early Age ChildrenAbstractThis research aims to: (1) develop nature-based learning model for early age children, and (2) know the difference of nature-based learning model and conventional learning model on early age children learning process. The research method was developmental research.The data were collected through observation guide and fieldnotes. The qualitative data were analyzed through descriptive analysis and the quantitative data were analyzed through independent sample t-test. The result of the research are (1) the research product is a nature-based learning model for early age children. The learning principles are learning about nature, learning through nature, and learning with nature, and(2) there are different significant result quality on learning process between the nature-based learning model and conventional learning model. It has been proven on the result of SPSS 16 program which is shown value of tcount= -3,008 < ttable= -1,717 and enlarged testing that value of tcount= -2,159< ttable= -2,024. The nature-based learning model increased learning process quality because it was accommodate learning characteristic of children.Keywords: nature-based learning process, early age children, learning process


2021 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Robiatul Munajah ◽  
Asep Supena

The success of students in learning does not only depend on their own abilities. Several factors that can give effect need to be optimized. The teacher's strategy is very meaningful to optimize students' multiple intelligences according to the indicators that each student has. Every child in this world has various intelligences in different levels and indicators. This shows that all children, by nature, are intelligent. The difference lies in the level and indicators of intelligence. These differences are determined by various factors. One of them is the stimulation given when children learn in the learning process carried out by the teacher. The difference in intelligence among students demands a fair and existential way of thinking of educators. This research is a literature review to see more specifically the teacher's strategy in optimizing multiple intelligences in elementary schools based on research reference sources and books. Good educators are able to detect children's intelligence by observing the behavior, tendencies, interests, ways and qualities of children when reacting to the given stimulus. All indicators of intelligence can be recognized by educators to then make a profile of intelligence. Therefore, every teacher should know how to develop the intelligence of their students, by identifying each indicator of children's intelligence and realizing the importance of developing all the intelligences of their students. 


2016 ◽  
Author(s):  
Ghislain Picard ◽  
Quentin Libois ◽  
Laurent Arnaud

Abstract. Ice is a highly transparent material in the visible. According to the most widely used database (Warren and Brandt, 2008; IA2008), the ice absorption coefficient reaches values lower than 10−3 m−1 around 400 nm. These values were obtained from a radiance profile measured in a single snow layer at Dome C in Antarctica. We reproduced this experiment using a fiber optics inserted in the snow to record 56 profiles from which 70 homogeneous layers were identified. Applying the same estimation method on every layer yields 70 ice absorption spectra with a significant variability and overall larger than IA2008 by one order of magnitude. We devise another estimation method based on Bayesian inference. It reduces the statistical variability and confirms the higher absorption, around 2 × 10−2 m−1 near the minimum at 440 nm. We explore potential instrumental artifacts by developing a 3D radiative transfer model able to explicitly account for the presence of the fiber in the snow. The simulation results show that the radiance profile is indeed perturbed by the fiber intrusion but the error on the ice absorption estimate is not larger than a factor 2. This is insufficient to explain the difference between our new estimate and IA2008. Nevertheless, considering the number of profiles acquired for this study and other estimates from the Antarctic Muon and Neutrino Detector Array (AMANDA), we estimate that ice absorption values around 10−2 m−1 at the minimum are more likely than under 10−3 m−1. We provide a new estimate in the range 400–600 nm for future modeling of snow, cloud, and sea-ice optical properties. Most importantly we recommend that modeling studies take into account the large uncertainty of the ice absorption coefficient in the visible.


2017 ◽  
Vol 52 ◽  
pp. 43-58 ◽  
Author(s):  
Kaarina S. Reini ◽  
Jan Saarela

Previous research has documented lower disability retirement and mortality rates of Swedish speakers as compared with Finnish speakers in Finland. This paper is the first to compare the two language groups with regard to the receipt of sickness allowance, which is an objective health measure that reflects a less severe poor health condition. Register-based data covering the years 1988-2011 are used. We estimate logistic regression models with generalized estimating equations to account for repeated observations at the individual level. We find that Swedish-speaking men have approximately 30 percent lower odds of receiving sickness allowance than Finnish-speaking men, whereas the difference in women is about 15 percent. In correspondence with previous research on all-cause mortality at working ages, we find no language-group difference in sickness allowance receipt in the socially most successful subgroup of the population.


2020 ◽  
Author(s):  
Yinzhen Zhu ◽  
Zikai Hao ◽  
Yuming Fu ◽  
Jianlou Yang ◽  
Chen Dong ◽  
...  

AbstractCompared with the normal environment, the microbiota in controlled closed cabins such as space capsules, Lunar/Mars bases have changed. To ensure the health of crewmembers, it’s necessary to understand the effects of these changes on human symbiotic microorganisms and immunity. In this study, the experimental platform “Lunar Palace 1” with a similar closed and controlled environment was used to research the effects of changed microbial exposure on human saliva microbiota and salivary cytokines. This paper studied on four crewmembers who participated in the third phase of the “Lunar Palace 365” experiment, analyzing the dynamic changes of saliva microbiota and salivary cytokines, and further studying the correlation between salivary cytokines and highly abundant genera. According to our data, the crewmembers’ saliva microbiota and salivary cytokines fluctuated smoothly throughout the whole experiment. Although a part of microbes increased or decreased some times, they recovered quickly after leaving the controlled environment. The level of IL-6, IL-10 and TNF-α in crewmembers’ saliva decreased from normal environment to the controlled environment, showing reduced levels of oral inflammatory response in crewmembers. In addition, although there were significant individual differences in crewmembers’ saliva microbiota, sharing living space reduced the difference. Furthermore, the level of TNF-α showed a consistent positive correlation with the abundance of Actinomyces and Rothia in the controlled environment, indicating healthy individuals’ oral mucosal barrier may be sensitive to changes in saliva microbiota. According to the result, semi-sterile environments in controlled closed cabins didn’t cause persistent changes in human saliva microbiota and oral immunity. Besides, it provides a new idea for future research on the impact of the controlled environment on crewmembers health, and provides guidance for studying the effect of semi-sterile environments on human immunity based on saliva microbiota.Key pointsSaliva microbes kept stable for individual but got convergent when sharing space;The level of salivary cytokines reduced after entering the controlled environment;There were complex correlations between salivary cytokines and saliva microbes;The crewmembers adapt well to the controlled environment.


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