A New Approach For Age Estimation System Based on Speech Signals

2021 ◽  
Author(s):  
Armagan Fidan ◽  
Rabia Ozge Bircan ◽  
Saeid Karamzadeh
Keyword(s):  
Age Estimation ◽  
Speech Signals ◽  
New Approach ◽  
Estimation System

Juvenile versus adult: A new approach for age estimation from 3-dimensional analyses of the mandibular third molar apices

2019 ◽  
Vol 19 ◽  
pp. 100347 ◽  
Author(s):  
Muhammad Khan Asif ◽  
Norliza Ibrahim ◽  
Samah M. Al-Amery ◽  
Jacob John ◽  
Phrabhakaran Nambiar
Keyword(s):  
Age Estimation ◽  
Third Molar ◽  
New Approach ◽  
3 Dimensional ◽  
Mandibular Third Molar

Improved estimation is a prerequisite for successful terminal guidance

2005 ◽  
Vol 219 (2) ◽  
pp. 145-156 ◽  
Author(s):  
J Shinar ◽  
V Turetsky
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Estimation Errors ◽  
New Approach ◽  
Target Acceleration ◽  
The Future ◽  
New Ideas ◽  
Estimation System ◽  
Terminal Guidance

Successful interception of manoeuvring anti-surface missiles that are expected in the future can be achieved only if the estimation errors against manoeuvring targets can be minimized. The paper raises new ideas for an improved estimation concept by separating the tasks of the estimation system and by explicit use of the time-to-go in the process. The outcome of the new approach is illustrated by results of Monte Carlo simulations in generic interception scenarios. The results indicate that if an eventual ‘jump’ in the commanded target acceleration is detected sufficiently rapidly, small estimation errors and consequently precise guidance can be obtained.

scholarly journals Apparent Age Estimation System Based on Age Perception

10.5772/13946 ◽  
2011 ◽  
Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Age Perception ◽  
Estimation System ◽  
Apparent Age

scholarly journals A Hierarchical Framework for Facial Age Estimation

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuyu Liang ◽  
Xianmei Wang ◽  
Li Zhang ◽  
Zhiliang Wang
Keyword(s):  
Age Estimation ◽  
Nearest Neighbor ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Age Group ◽  
K Nearest Neighbor ◽  
Complex Issue ◽  
Ordinal Information ◽  
Hierarchical Framework ◽  
Estimation System

Age estimation is a complex issue of multiclassification or regression. To address the problems of uneven distribution of age database and ignorance of ordinal information, this paper shows a hierarchic age estimation system, comprising age group and specific age estimation. In our system, two novel classifiers, sequence k-nearest neighbor (SKNN) and ranking-KNN, are introduced to predict age group and value, respectively. Notably, ranking-KNN utilizes the ordinal information between samples in estimation process rather than regards samples as separate individuals. Tested on FG-NET database, our system achieves 4.97 evaluated by MAE (mean absolute error) for age estimation.

scholarly journals Automatic Age Estimation System for Face Images

10.5772/52862 ◽  
2012 ◽  
Vol 9 (5) ◽  
pp. 216 ◽  
Author(s):  
Chin-Teng Lin ◽  
Dong-Lin Li ◽  
Jian-Hao Lai ◽  
Ming-Feng Han ◽  
Jyh-Yeong Chang
Keyword(s):  
Age Estimation ◽  
Face Images ◽  
Estimation System

A Design of an Age Estimation System Using the SOM

2006 ◽  
Author(s):  
Hironobu Fukai ◽  
Yasue Mitsukura ◽  
Hironori Takimoto ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Estimation System

Foot Age Estimation System from Walking Dynamics Based on Fuzzy Logic

2014 ◽  
Vol 18 (4) ◽  
pp. 489-498 ◽  
Author(s):  
Takahiro Takeda ◽  
◽  
Yoshitada Sakai ◽  
Syoji Kobashi ◽  
Kei Kuramoto ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Pressure Distribution ◽  
Age Estimation ◽  
Age Groups ◽  
Absolute Error ◽  
Elderly Age ◽  
Age Related ◽  
Gait Features ◽  
Walking Dynamics ◽  
Estimation System

This paper describes a foot-age estimation system based on fuzzy logic. The foot-age is one of age related indexes, and it shows the degree of aging by the gait condition. The system estimates the foot-age from sole pressure distribution change during walking. The sole pressure distribution is acquired by a mat-type load distribution sensor. Our estimation system extracts four gait features from sole pressure data, and calculates fuzzy degrees for young age,middle age and elderly age groups from these gait features. The footage of the walking person on the sensor is calculated by fuzzy MIN-MAX center of gravity method. In our experiment, we employed 93 male and 132 female volunteers, and the system estimated their foot-ages with low mean absolute error for their true ages. Additionally, we developed a diagnosis system based on estimated foot-age.

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