Age estimation system using MPCA

Author(s):  
V. Tamil Selvi ◽  
K. Vani
Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuyu Liang ◽  
Xianmei Wang ◽  
Li Zhang ◽  
Zhiliang Wang

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.


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

Author(s):  
Hironobu Fukai ◽  
Yasue Mitsukura ◽  
Hironori Takimoto ◽  
Minoru Fukumi

Author(s):  
Takahiro Takeda ◽  
◽  
Yoshitada Sakai ◽  
Syoji Kobashi ◽  
Kei Kuramoto ◽  
...  

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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