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Informations générales |
| Auteur |
Yamamoto, Shota; Yoshitomi, Yasunari; Tabuse, Masayoshi; Kushida, Kou; Asada, Taro |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
We developed a method for pattern recognition
of baby’s emotions (discomfortable, hungry, or sleepy)
expressed in the baby’s cries. A 32‐dimensional fast
Fourier transform is performed for sound form clips,
detected by our reported method and used as training
data. The power of the sound form judged as a silent
region is subtracted from each power of the frequency
element. The power of each frequency element after the
subtraction is treated as one of the elements of the feature
vector. We perform principal component analysis (PCA)
for the feature vectors of the training data. The emotion of
the baby is recognized by the nearest neighbor criterion
applied to the feature vector obtained from the test data
of sound form clips after projecting the feature vector on
the PCA space from the training data. Then, the emotion
with the highest frequency among the recognition results
for a sound form clip is judged as the emotion expressed
by the baby’s cry. We successfully applied the proposed
method to pattern recognition of baby’s emotions. The
present investigation concerns the first stage of the
development of a robotics baby caregiver that has the
ability to detect babyʹs emotions. In this first stage, we
have developed a method for detecting babyʹs emotions.
We expect that the proposed method could be used in
robots that can help take care of babies. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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