scholarly journals Visuo-postural dependency index (VPDI) in human postural control

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Alessander Danna-dos-Santos ◽  
Maria M. Ribeiro dos Santos ◽  
Alessandra T. Magalhães ◽  
Vinicius S. Cardoso ◽  
Patricia Driusso ◽  
...  
Keyword(s):  
Postural Control ◽  
Temporal Frequency ◽  
Gender Effects ◽  
Gender And Age ◽  
Visual Vertical ◽  
Eyes Open ◽  
Fall Risks ◽  
And Gender ◽  
Dependency Index ◽  
Operational Methods

Abstract Background Computerized stabilometry has been utilized to investigate the effect of vision on the neuromechanisms of human postural control. However, this approach lacks operational methods to quantify visual dependency during upright stance. This study had three goals: (1) To introduce the concept of visuo-postural dependency indices (VPDI) representing balance sway characteristics in multiple analytical domains (spatial, temporal, frequency, and structural), (2) To investigate the age and gender effects on VPDIs, and (3) To investigate the degree of relationships between VPDI and both subjective visual vertical and horizontal perception (SVV and SVH, respectively). Methods 102 participants (16 to 80 years old) performed bipedal stances on a force platform with eyes open and closed. Response variables included the VPDIs computed for each postural index. In addition, 29 participants also performed SVV and SVH assessments. Results Fifteen VPDIs showed to be robust indicators of visual input modulation, and the variation across their magnitudes of modulation revealed a non-homogeneous response to changes in visual stimuli. Gender and age were not found to be a significant factor to VPDI modulation. Conclusions VPDIs revealed to be potential measures capable to quantitatively assess visuo-postural dependency and aid the assessment of fall risks and balance impairments.

scholarly journals Visuo-postural Dependency Index (VPDI) in Human Postural Control.

2020 ◽  
Author(s):  
Alessander Danna-dos-Santos ◽  
Maria M Ribeiro dos Santos ◽  
Alessandra T Magalhaes ◽  
Vinicius S Cardoso ◽  
Patricia Driusso ◽  
...  
Keyword(s):  
Postural Control ◽  
Temporal Frequency ◽  
Gender Effects ◽  
Gender And Age ◽  
Visual Vertical ◽  
Eyes Open ◽  
Fall Risks ◽  
And Gender ◽  
Dependency Index ◽  
Operational Methods

Abstract Background: Computerized stabilometry has been utilized to investigate the effect of vision on the neuromechanisms of human postural control. However, this approach lacks operational methods to quantify visual dependency during upright stance. Objectives: The study had three goals: (1) To introduce the concept of visuo-postural dependency indices (VPDI) representing balance sway characteristics in multiple analytical domains (spatial, temporal, frequency, and structural), (2) To investigate the age and gender effects on VPDIs, and (3) To investigate the degree of relationships between VPDI and both subjective visual vertical and horizontal perception (SVV and SVH, respectively). Methods: 102 participants (16 to 80 years old) performed bipedal stance on a force platform with eyes open and closed. Response variables included the VPDIs computed for each postural index. In addition, 29 participants also performed SVV and SVH assessments. Results: Fifteen VPDIs showed to be robust indicators of visual input modulation, and the variation across their magnitudes of modulation revealed a non-homogeneous response to changes in visual stimuli. Gender and age were not found to be a significant factor to VPDI modulation. Conclusions: VPDIs revealed to be potential measures capable to quantitatively assess visuo-postural dependency and aid the assessment of fall risks and balance impairments.

scholarly journals Frequency dependence and gender effects in visual cortical regions involved in temporal frequency dependent pattern processing

2001 ◽  
Vol 14 (1) ◽  
pp. 28-38 ◽  
Author(s):  
Christian Kaufmann ◽  
Gregor-Konstantin Elbel ◽  
Christoff Gössl ◽  
Benno Pütz ◽  
Dorothee P. Auer
Keyword(s):  
Frequency Dependence ◽  
Temporal Frequency ◽  
Gender Effects ◽  
Frequency Dependent ◽  
Pattern Processing ◽  
And Gender ◽  
Cortical Regions ◽  
Visual Cortical

scholarly journals The Normative Study of Acoustic and Aerodynamic Characteristics of Voice among Healthy Adult Turkish Speaker Population

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ayşegül Zencir Şen ◽  
Bülent Toğram
Keyword(s):  
Normative Data ◽  
Healthy Adult ◽  
Voice Disorders ◽  
Gender Effects ◽  
Evaluation Instrument ◽  
Age And Gender ◽  
Gender Interaction ◽  
Gender And Age ◽  
Interaction Variables ◽  
And Gender

Phonatory Aerodynamic System (PAS Model 6600) is an evaluation instrument that assesses the effectiveness of surgical interventions, treatments, and therapy for voice disorders. It can be used for the assessment of voice disorders by supporting other perceptual and instrumental methods. It is important to establish normative data, because the use of appropriate norms is necessary for diagnostic and descriptive accuracy. Therefore, this study is aimed primarily at establishing adult normative databases for phonatory aerodynamic measures obtained with the KayPENTAX PAS Model 6600 among healthy adult Turkish speakers and then examining the effect of age, gender, and age-gender interaction variables on these measures. The contribution of the study is considered so important since it will generate normative data for all measurements—except the mean pitch—by the five protocols of PAS for the first time. Two hundred and six healthy Turkish speakers with normal voice (106 women and 100 men) were included in the study and stratified into three age groups. Forty-five phonatory aerodynamic measures across five PAS protocols (vital capacity, maximum sustained phonation, comfortable sustained phonation, variation in sound pressure level, and voicing efficiency) were collected. Age, gender, and age-gender interaction variables were analyzed for 45 PAS parameters. Significant gender and age effect was found for 30 and 19 variables, respectively. Gender-age interaction together was observed for only 6 parameters. Significant differences were not found for the remaining 10 parameters. Significant age and gender effects were observed for 35 phonatory and aerodynamic measures which are essential part of the objective clinical assessment of voice. Consequently, normative data used as reference in voice assessment should be generated according to age and gender differences.

Age and gender effects on postural control measures

1995 ◽  
Vol 76 (10) ◽  
pp. 961-965 ◽  
Author(s):  
Patricia A. Hageman ◽  
J. Michael Leibowitz ◽  
Daniel Blanke
Keyword(s):  
Postural Control ◽  
Gender Effects ◽  
Control Measures ◽  
Age And Gender ◽  
And Gender

Multilevel analyses of personality, social, and gender effects on group climate and efficacy

2006 ◽  
Author(s):  
Susannah Paletz ◽  
Judith Orasanu ◽  
Yuri Tada ◽  
Roberta Bernhard ◽  
Ute Fischer ◽  
...  
Keyword(s):  
Gender Effects ◽  
Multilevel Analyses ◽  
Group Climate ◽  
And Gender

Real Time Gender and Age Prediction using Deep Learning Techniques

2020 ◽  
Vol 9 (6) ◽  
pp. 797-801
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Real Time ◽  
Vital Role ◽  
Learning Techniques ◽  
Gender And Age ◽  
The Face ◽  
And Gender ◽  
Gender Detection ◽  
Age Prediction

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.

Fortuna

2018 ◽  
Author(s):  
Daniele Miano
Keyword(s):  
Middle Ages ◽  
Historical Development ◽  
Conceptual Analysis ◽  
Dominant Role ◽  
Age Groups ◽  
New Approach ◽  
Good Fortune ◽  
Gender And Age ◽  
New Meanings ◽  
And Gender

This book focuses on the Latin goddess Fortuna, one of the better known deities in ancient Italy. The earliest forms of her worship can be traced back to archaic Latium, and she was still a widely recognized allegorical figure during the Middle Ages and the Renaissance. The main reason for her longevity is that she was a conceptual deity, and had strong associations with chance and good fortune. When they were interacting with the goddess, communities, individuals, and gender and age groups were inevitably also interacting with the concept. These relations were not neutral: they allowed people to renegotiate the concept, enriching it with new meanings and challenging established ones. The geographical and chronological scope of this book is Italy from the archaic age to the late Republic. In this period Italy was a fragmented, multicultural and multilinguistic environment, characterized by a wide circulation of people, customs, and ideas, in which Rome played an increasingly dominant role. All available sources on Fortuna have been used: literary, epigraphic, and archaeological. The study of the goddess based on conceptual analysis will serve to construct a radically new picture of the historical development of this deity in the context of the cultural interactions taking place in ancient Italy. The book also aims at experimenting with a new approach to polytheism, based on the connection between gods and goddesses and concepts.

The Governance of Global Agri-food Value Chains, Standards, and Development

2019 ◽  
Author(s):  
Johan Swinnen ◽  
Rob Kuijpers
Keyword(s):  
Developing Countries ◽  
Value Chain ◽  
Poverty Reduction ◽  
Global Value Chains ◽  
Gender Effects ◽  
Growth Potential ◽  
Value Chains ◽  
Food Standards ◽  
Institutional Spillovers ◽  
And Gender

Understanding the development implications of agri-food standards and global value chains is crucial, as they are a fundamental component of developing countries’ growth potential and could increase rural incomes and reduce poverty, but at the same time they present serious challenges and could lead to further marginalization of the poor. This chapter reviews some of the implications of the spread of stringent standards associated with global value chains for developing countries and global poverty reduction. The chapter focuses on five aspects: the interaction between standards and value chain governance; the effects on agricultural productivity and smallholder welfare; farm-level and institutional spillovers; labor market and gender effects; and the interaction between liberalization policies and value chains.

scholarly journals Age and Gender as Cyber Attribution Features in Keystroke Dynamic-Based User Classification Processes

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 835
Author(s):  
Ioannis Tsimperidis ◽  
Cagatay Yucel ◽  
Vasilios Katos
Keyword(s):  
High Accuracy ◽  
Keystroke Dynamics ◽  
Time Intervals ◽  
Age And Gender ◽  
Common Features ◽  
User Classification ◽  
Gender And Age ◽  
And Gender ◽  
Keystroke Dynamic

Keystroke dynamics are used to authenticate users, to reveal some of their inherent or acquired characteristics and to assess their mental and physical states. The most common features utilized are the time intervals that the keys remain pressed and the time intervals that are required to use two consecutive keys. This paper examines which of these features are the most important and how utilization of these features can lead to better classification results. To achieve this, an existing dataset consisting of 387 logfiles is used, five classifiers are exploited and users are classified by gender and age. The results, while demonstrating the application of these two characteristics jointly on classifiers with high accuracy, answer the question of which keystroke dynamics features are more appropriate for classification with common classifiers.

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