scholarly journals The movement, the physical exercise, the sportive game, the traditional dance,basic parts for maintaining the human body health

2019 ◽  
Vol 1 ◽  
pp. 31-32
Author(s):  
Lazăr Tipa
Keyword(s):  
Physical Exercise ◽  
Human Body ◽  
Body Movements ◽  
Traditional Dance ◽  
Day By Day ◽  
Healthy Body

Introduction. The human body movements, in our day by day life, conscious or/and subconscious, accompany us permanently and they are presented in various ways. The movement accompanies our life, life is accompanied the movement, healthy mind in a healthy body. ”Menssana in corporesano”.

Striking Factory and Strike of Consciousness in the Work of S. M. Eisenstein

2014 ◽  
Author(s):  
Elen Vogman
Keyword(s):  
Political Economy ◽  
Soviet Union ◽  
Human Body ◽  
Body Movements ◽  
The Soviet Union ◽  
The Everyday ◽  
Everyday Work ◽  
Political Model

The Soviet Union of the 1920s produces and supports multiple connections between the policy of work in factories and the research in medical, neurological, and collective physiology. The theatrical and cinematic work of S. M. Eisenstein forms a specific prism where these interconnections appear in a spectrum of concrete attempts to engage the factory as an aesthetic and political model. The factory as a concrete topos which Eisenstein exploits in Gas Masks and Strike questions the interrelations between the human body and machine in a new iconology of a striking factory. For the duration of the Strike, the factory is represented beyond any functionality: the workers’ body movements and gestures are all the more expressive the less they have to do with their everyday work. This modulated status of production appears in Capital, Eisenstein’s unfulfilled project to realize Marx’s political economy with methods of inner monologue invented by Joyce. This last project transfigures the factory strike into the structure of cinematographic thinking where the neuro-sensorial stimuli constantly strike the logic of the everyday consciousness in the non-personal, polyphonic, and intimate monologue.

The Application of the Human Body Link Stress Analysis Method in the Basketball Movement

2017 ◽  
Vol 14 (1) ◽  
pp. 79-83
Author(s):  
Man Wang
Keyword(s):  
Stress Analysis ◽  
Human Body ◽  
Teaching Practice ◽  
The Body ◽  
Analysis Method ◽  
Body Movements ◽  
And Training ◽  
Original Dynamic

“Link stress analysis method” is a method to determine to cause the original dynamic muscle of the body movements. In the basketball sports and training, it gets more and more attention. The writer tries to base the teaching practice, to make some supplement and discussion of the theoretical definition, the methods of the analysis of the original muscle and the problems that should be noticed.

scholarly journals A multi-sensory code for emotional arousal

2017 ◽  
Author(s):  
Beau Sievers ◽  
Caitlyn Lee ◽  
William Haslett ◽  
Thalia Wheatley
Keyword(s):  
Human Body ◽  
Emotional Arousal ◽  
Central Tendency ◽  
Body Movements ◽  
Spectral Centroid ◽  
Sensory Signal ◽  
Romantic Poetry ◽  
Death Metal ◽  
Sensory Code ◽  
Architecture And Music

People express emotion using their voice, face and movement, as well as through abstract forms as in art, architecture and music. The structure of these expressions often seems intuitively linked to its meaning: e.g., romantic poetry is written in flowery curlicues, while the logos of death metal bands use spiky script. Here we show that these associations are universally understood because they are signaled using a multi-sensory code for emotional arousal. Specifically, variation in the central tendency of the frequency spectrum of a stimulus—its spectral centroid—is used by signal senders to express emotional arousal, and by signal receivers to make emotional arousal judgments. We show that this code is used across sounds, shapes, speech, and human body movements, providing a strong multi-sensory signal that can be used to efficiently estimate an agent’s level of emotional arousal.

scholarly journals An Empirical Comparative Analysis Using Machine Learning Techniques for Liver Disease Prediction

2021 ◽  
Vol 16 (4) ◽  
pp. 1-12
Author(s):  
Mohammed Alghobiri ◽  
Hikmat Ullah Khan ◽  
Ahsan Mahmood
Keyword(s):  
Liver Disease ◽  
Human Body ◽  
Regression Models ◽  
Near Neighbor ◽  
The Body ◽  
Machine Learning Techniques ◽  
Logistic Regression Models ◽  
Learning Techniques ◽  
Tenfold Cross Validation ◽  
Day By Day

The human liver is one of the major organs in the body and liver disease can cause many problems in human live. Due to the increase in liver disease, various data mining techniques are proposed by the researchers to predict the liver disease. These techniques are improving day by day in order to predict and diagnose the liver disease in human. In this paper, real-world liver disease dataset is incorporated for diagnosing liver disease in human body. For this purpose, feature selection models are used to select a number of features that best are the most important feature to diagnose the liver disease. After selecting features and splitting data for training and testing, different classification algorithms in terms of naïve Bayes, supervised vector machine, decision tree, k near neighbor and logistic regression models to diagnose the liver disease in human body. The results are cross-validated by tenfold cross validation methods and achieve an accuracy as good as 93%.

scholarly journals IMPACT OF EXTREME PHYSICAL EXERCISE ON HUMAN BODY

2016 ◽  
Vol 85 (4) ◽  
pp. 139-146
Author(s):  
Martin Jakl ◽  
Pavel Skořepa ◽  
Jan M. Horáček
Keyword(s):  
Physical Exercise ◽  
Human Body

scholarly journals Mathematical Model Optimization Techniques under Unreliable Electromagnetic Field for ECG Waves

2021 ◽  
pp. 184-190
Keyword(s):  
Mathematical Model ◽  
Electromagnetic Field ◽  
Mobile Phone ◽  
Human Body ◽  
Human Heart ◽  
Optimization Techniques ◽  
Variation Of Parameters ◽  
Mathematical Expressions ◽  
Electrocardiogram Ecg ◽  
Day By Day

The electrocardiogram (ECG) has significant scientific importance for analyzing the majority of cardiovascular diseases. On one side the technologies are growing very fast, on the other side there is a need to check and balance their effect on human health. The activity of the heart ECG voltage vector is well explained by the modeling of the ECG wave. It is one of the essential tools to do so. In the proposed work we tried to elucidate a mathematical model for the ECG wave by presumptuous the human body as a cylindrical complex dielectric and conducting medium. The human heart is considered as a harmonic bio-signal generator positioned in this medium. Nowadays, technologies are enhancing in various aspects as the graph of mobile phone users increasing rapidly day by day. Essentially, it needed to understand its side effects on the human body and especially for the health of the human heart. The electrical equivalent of the heart can be used to develop a mathematical model for the human heart as per its functioning. The ECG parameters which are affecting due to the electromagnetic wave can be analyzed using a proposed mathematical model. If mathematical expressions are available relations can be formed and understand for each part of the human heart. As mobile phone and its, some component gives electromagnetic exposure to the human body. Hence there is a need to develop a model of the human heart using mathematical analysis. Hence, this paper proposes a mathematical model for ECG and variation of parameters due to electromagnetic field- based.

scholarly journals Kinematic dataset of actors expressing emotions

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Mingming Zhang ◽  
Lu Yu ◽  
Keye Zhang ◽  
Bixuan Du ◽  
Bin Zhan ◽  
...  
Keyword(s):  
Motion Capture ◽  
Human Body ◽  
The Body ◽  
Body Movements ◽  
Basic Emotions ◽  
Research And Practice ◽  
Information Forensics ◽  
Daily Events ◽  
Body Kinematic ◽  
Neutral Expression

Abstract Human body movements can convey a variety of emotions and even create advantages in some special life situations. However, how emotion is encoded in body movements has remained unclear. One reason is that there is a lack of public human body kinematic dataset regarding the expressing of various emotions. Therefore, we aimed to produce a comprehensive dataset to assist in recognizing cues from all parts of the body that indicate six basic emotions (happiness, sadness, anger, fear, disgust, surprise) and neutral expression. The present dataset was created using a portable wireless motion capture system. Twenty-two semi-professional actors (half male) completed performances according to the standardized guidance and preferred daily events. A total of 1402 recordings at 125 Hz were collected, consisting of the position and rotation data of 72 anatomical nodes. To our knowledge, this is now the largest emotional kinematic dataset of the human body. We hope this dataset will contribute to multiple fields of research and practice, including social neuroscience, psychiatry, computer vision, and biometric and information forensics.

Computational Hemodynamic Modeling of the Cardiovascular System

2014 ◽  
Vol 3 (2) ◽  
pp. 81-98 ◽  
Author(s):  
Alejandro Talaminos ◽  
Laura M. Roa ◽  
Antonio Álvarez ◽  
Javier Reina
Keyword(s):  
Physical Exercise ◽  
Cardiovascular System ◽  
Human Body ◽  
Dynamic Behaviour ◽  
Modular Approach ◽  
Hemodynamic Variables ◽  
New Knowledge ◽  
Human Cardiovascular System ◽  
Biomedical Field ◽  
Accepted Practice

Computational methods and modeling are widely used in many fields to study the dynamic behaviour of different phenomena. Currently, the use of these models is an accepted practice in the biomedical field. One of the most significant efforts in this direction is applied to the simulation and prediction of pathophysiological conditions that can affect different systems of the human body. In this work, the design and development of a computational model of the human cardiovascular system is proposed. The structure of the model has been built from a physiological base, considering some of the mechanisms associated to the cardiovascular system. Thus, the aim of the model is the prediction, heartbeat by heartbeat, of some hemodynamic variables from the cardiovascular system, in different pathophysiological cardiac situations. A modular approach to development of the model has been considered in order to include new knowledge that could force the model's hemodynamic. The model has been validated comparing the results obtained with hemodynamic values published by other authors. The results show the usefulness and applicability of the model developed. Thus, different simulations of some cardiac pathologies and physical exercise situations are presented, together with the dynamic behaviors of the different variables considered in the model.

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