Recognition of Face Orientations Based on Nostril Feature | Zendy

Nobuaki NAKAZAWA | Zendy; Takashi Mori | Zendy; Aya Maeda | Zendy; Il Hwan Kim | Zendy; Toshikazu Matsui | Zendy; Kou Yamada | Zendy

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Recognition of Face Orientations Based on Nostril Feature

Author(s) -

Nobuaki NAKAZAWA,

Takashi Mori,

Aya Maeda,

Il Hwan Kim,

Toshikazu Matsui,

Kou Yamada

Publication year - 2012

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2012.p1063

Subject(s) - nostril , orientation (vector space) , face (sociological concept) , computer vision , artificial intelligence , computer science , operator (biology) , wheelchair , interface (matter) , facial recognition system , feature (linguistics) , usb , feature extraction , mathematics , nose , anatomy , geometry , medicine , biology , software , programming language , social science , philosophy , repressor , linguistics , maximum bubble pressure method , sociology , world wide web , biochemistry , bubble , parallel computing , transcription factor , gene

This paper describes a noncontactman-machine interface based on face orientation. Real-time images of an operator’s face were observed by a USB camera and changes in the dark area of the nostrils were utilized for the recognition of face orientation. When the operator faced up, dark areas of both nostrils increased in area, and when the operator faced down, such dark areas decreased, respectively. In contrast, the difference between nostril areas could be caused when the face was turn to the side. Here, these characteristics were reflected in face-orientation recognition. The interface we developed was applied to electrical wheelchair operation.

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