scholarly journals Trampoline Motion Decomposition Method Based on Deep Learning Image Recognition

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yushan Liu ◽  
Huijuan Dong ◽  
Liang Wang
Keyword(s):  
Image Recognition ◽  
Human Body ◽  
Automatic Segmentation ◽  
Reaction Force ◽  
Research Problem ◽  
Motion Data ◽  
Starting Time ◽  
Key Steps ◽  
Sports Sciences

The automatic segmentation and classification of an unknown motion data stream based on given motion classes constitute an important research problem with applications in computer vision, animation, healthcare, and sports sciences. In this paper, the scenario of trampoline motions is considered, where an athlete performs a routine consisting of sequence of jumps that belong to predefined motion classes such as somersaults. The purpose of this study was to make theoretical discussions on the turning starting time and starting technique of trampoline somersault based on image recognition and point out that the appropriate turning starting time of trampoline somersault is the event when the spring net of the trampoline recovers and applies force to the human body, and the overturning start exists in the latter half of the take-off action. It is considered that how to obtain the ideal full reaction force of the net facing the human body is the flip starting technique. This work analyzes the key steps and events for trampoline somersaults and the application of artificial intelligence for the recognition of actions in the healthcare and sports fields. The effectiveness of the proposed study is shown through experimental results. The study can facilitate the process of recognition of trampoline somersault.

scholarly journals Analysis and synthesis of function data of human movement

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yunlong Ma ◽  
Sanaa Sharaf ◽  
Basel Jamal Ali
Keyword(s):  
Human Body ◽  
Recognition Rate ◽  
Human Movement ◽  
Human Motion ◽  
Motion Data ◽  
Periodic Data ◽  
Analysis And Synthesis ◽  
Capture Method ◽  
Operational Data

Abstract The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing on the captured periodic motion data, and then extracts the data sequence for the few motions. Thereafter, the classification of the vector calculation method is carried out according to the characteristics of periodic data. Through experimental research, it is found that the functional data analysis (FDA) algorithm proposed in the thesis can accurately identify human motion behaviour, and the automatically collected data has a recognition rate that is as high as 98.9%. Therefore, we have concluded that the human body data functional analysis algorithm has higher recognition accuracy than the traditional optical capture system. Thus, it is worthy of further research and discussion.

Recursive Formalism With a Minimal Dynamic Parameterization for the Identification and Simulation of Multibody Systems

1999 ◽  
Author(s):  
Xavier Chenut ◽  
Paul Fisette ◽  
Jean-Claude Samin
Keyword(s):  
Explicit Form ◽  
Human Body ◽  
Multibody Systems ◽  
Equations Of Motion ◽  
Reaction Force ◽  
Full Rank ◽  
Dynamic Parameters ◽  
Minimal Set ◽  
Motion Data ◽  
Simulation Results

Abstract This paper proposes a recursive formalism to obtain the equations of motion of multibody systems, using a minimal dynamic parameterization. The use of a minimum set of parameters allows its identification, and the recursivity allows to deal with MBS of any size. A semi-explicit form of the equations for subsequent simulation of the MBS is also introduced. Firstly, a symbolic recursive Newton-Euler formalism in barycentric parameters for open tree-like structures is established. It can be shown that the barycentric parameters appear linearly in these equations which can thus be easily derived with respect to the parameters, leading to the corresponding identification matrix. However, in the general case, the barycentric parameters do not form a minimal set of parameters for the MBS. As a consequence, the identification matrix can never be made full rank, whatever the excitation trajectory, preventing us from correctly identifying the parameters. Therefore, a minimal set of parameters is obtained using recursive rules that can be applied systematically to any open MBS. These new parameters are then fed into the Newton-Euler equations which conserve their linearity with respect to them. Finally, a semi-explicit form of the equations of motion is established, using the minimal parameter set, allowing subsequent simulation of the identified MBS. As regards the applications, the initial motivation of these developments is lying in the field of biomechanics, where knowledge of the dynamic parameters of the human body is of great importance. Based on motion data and reaction force/torques data, a minimal set of parameters for the human body can be identified. Simulation results will be shown during the oral presentation.

Matrix metalloproteinases: structure, functions and genetic polymorphism

2017 ◽  
pp. 14-23
Author(s):  
А.С. Шадрина ◽  
И.В. Терешкина ◽  
Я.З. Плиева ◽  
Д.Н. Кушлинский ◽  
Д.О. Уткин ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Matrix Metalloproteinases ◽  
Active Center ◽  
Human Body ◽  
Enzymatic Catalysis ◽  
Structure Functions ◽  
Zinc Ion ◽  
Etiological Factors ◽  
Mmp Genes

Матриксные металлопротеиназы (ММП) - ферменты класса гидролаз, осуществляющие ферментативный катализ с помощью связанного в активном центре иона цинка. Функции ММП разнообразны, и нарушение баланса их активности может быть одним из этиологических факторов различных заболеваний. В данном обзоре рассмотрена классификация ММП человека, особенности их структуры и регуляции, а также роль в физиологических и патологических процессах в организме человека. Приведен перечень наиболее изученных на настоящий момент полиморфных вариантов генов MMП, описаны их функциональные эффекты и представлены результаты ассоциативных исследований. Matrix metalloproteinases (MMPs) are enzymes of the hydrolase class that carry out enzymatic catalysis with the help of a zinc ion bound in the active center. MMP functions are diverse, and a disturbance in the balance of their activity may be one of the etiological factors of various diseases. In this review, the classification of human MMP, the features of their structure and regulation, as well as the role in physiological and pathological processes in the human body are considered. A list of the most studied polymorphic versions of MMP genes has been given, their functional effects have been described, and the results of associative studies have been presented.

scholarly journals Acceleration Feature Extraction of Human Body Based on Wearable Devices

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 924
Author(s):  
Zhenzhen Huang ◽  
Qiang Niu ◽  
Ilsun You ◽  
Giovanni Pau
Keyword(s):  
Genetic Algorithm ◽  
Feature Extraction ◽  
Kalman Filter ◽  
Human Body ◽  
Wearable Devices ◽  
Human Motion ◽  
Data Set ◽  
Feature Extraction Method ◽  
Motion Data ◽  
Kalman Filter Algorithm

Wearable devices used for human body monitoring has broad applications in smart home, sports, security and other fields. Wearable devices provide an extremely convenient way to collect a large amount of human motion data. In this paper, the human body acceleration feature extraction method based on wearable devices is studied. Firstly, Butterworth filter is used to filter the data. Then, in order to ensure the extracted feature value more accurately, it is necessary to remove the abnormal data in the source. This paper combines Kalman filter algorithm with a genetic algorithm and use the genetic algorithm to code the parameters of the Kalman filter algorithm. We use Standard Deviation (SD), Interval of Peaks (IoP) and Difference between Adjacent Peaks and Troughs (DAPT) to analyze seven kinds of acceleration. At last, SisFall data set, which is a globally available data set for study and experiments, is used for experiments to verify the effectiveness of our method. Based on simulation results, we can conclude that our method can distinguish different activity clearly.

scholarly journals Automatic segmentation and classification of seven-segment display digits on auroral images

2016 ◽  
Vol 5 (2) ◽  
pp. 305-314 ◽  
Author(s):  
Tuomas Savolainen ◽  
Daniel Keith Whiter ◽  
Noora Partamies
Keyword(s):  
Automatic Segmentation ◽  
Scientific Information ◽  
Spherical Mirror ◽  
Automatic Method ◽  
Time Period ◽  
Film Images ◽  
Fully Automatic ◽  
Night Sky

Abstract. In this paper we describe a new and fully automatic method for segmenting and classifying digits in seven-segment displays. The method is applied to a dataset consisting of about 7 million auroral all-sky images taken during the time period of 1973–1997 at camera stations centred around Sodankylä observatory in northern Finland. In each image there is a clock display for the date and time together with the reflection of the whole night sky through a spherical mirror. The digitised film images of the night sky contain valuable scientific information but are impractical to use without an automatic method for extracting the date–time from the display. We describe the implementation and the results of such a method in detail in this paper.

scholarly journals Unsur Budaya Material dalam Novel Entrok Karya Okky Madasari

ATAVISME ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 200-216
Author(s):  
Miftahurohmah Hikmasari ◽  
Wening Sahayu
Keyword(s):  
Material Culture ◽  
Research Problem ◽  
Literary Work ◽  
Aesthetic Value ◽  
Literary Works ◽  
Descriptive Research ◽  
The Third ◽  
Qualitative Descriptive ◽  
The Aesthetic

This research aims to classify and describe the material culture elements contained in Okky Madasari’s novel Entrok. The research problem includes the classification of material culture elements which only exist in Indonesia, and most of them are related to Javanese culture. This research was a qualitative descriptive research. The data were in the form of words and phrases obtained from Okky Madasari’s Entrok. The result showed that there were six elements of material culture. The most commonly found material culture element was food, the second was house, the third was clothes, and the least found were vehicle, daily equipment, and art tool. The use of material culture elements in literary works, such as novel, not only improves the aesthetic value of the work, but also can be used as a media of education, so that the literary work enthusiasts can recognize better and are able to preserve the cultures in Indonesia.

scholarly journals A survey of performance models for LTE-WiFi wireless heterogeneous networks

2019 ◽  
pp. 18-25
Author(s):  
Martha María Hernández-Ochoa ◽  
Alfredo Netzahualcoyotl Torres-Lopez
Keyword(s):  
Heterogeneous Networks ◽  
Performance Metrics ◽  
Research Problem ◽  
Communication Process ◽  
Network Communication ◽  
Performance Models ◽  
Transmission Process ◽  
Wireless Heterogeneous Networks ◽  
Research Questions

Nowadays, the network traffic has increased exponentially due to amount of information and number of users which are connected to Heterogeneous Networks (HetNets) in this case we focus on LTE-WiFi technologies. This is an important issue that need to solve for an efficient network communication process end to end. The aim of this article is to present the-state-of-theart about performance models for LTE-WiFi HetNets and a classification of key performance metrics which help to analyze HetNets behaviour. The article concludes with a methodology that will be applied later for this research problem, as well as opened research questions. We believe, that apply our methodology using accurate and suitable models in HetNets the transmission process will have a fairness traffic when both networks coexist.

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