Journal of Robotics, Networking and Artificial Life

ISSN: 2352-6386
Volume 3, Issue 1, June 2016
Taiki Nishime, Satoshi Endo, Koji Yamada, Naruaki Toma, Yuhei Akamine
Pages: 9 - 12
In this study, we carried out the facial expression recognition from facial expression dataset using Convolutional Neural Networks (CNN). In addition, we analyzed intermediate outputs of CNN. As a result, we have obtained a emotion recognition score of about 58%; two emotions (Happiness, Surprise) recognition...
Henrik Hautop Lund
Pages: 13 - 16
Decades of research into intelligent, playful technology and user-friendly man-machine interfaces has provided important insight into the creation of robotic systems and intelligent interactive systems which are much more user-friendly, safer and cheaper than what appeared possible merely a decade or...
Tatsuyuki Iju, Satoshi Endo, Koji Yamada, Naruaki Toma, Yuhei Akamine
Pages: 24 - 27
The estimation methods for Twitter user’s attributes typically require a vast amount of labeled data. Therefore, an efficient way is to tag the unlabeled data and add it to the set. We applied the self-training SVM as a semi-supervised method for age estimation and introduced Plat scaling as the unlabeled...
Hirofumi Tanabe, Masahiro Mitsukane, Norihiro Toya, Ryosuke Takeichi, Hitomi Hattori, Yoshifumi Morita, Yoshiaki Takagi, Norio Hasegawa
Pages: 33 - 36
We developed a new training system UR-System 2 for restoring motor function of the upper limb after stroke in patients with hemiplegia. And then, we conducted clinical evaluation of the therapeutic effect of training with the UR-System 2 in six patients. The UR-System uses Proprioceptive Neuromuscular...
Taro Asada, Yasunari Yoshitomi, Ryota Kato, Masayoshi Tabuse, Jin Narumoto
Pages: 37 - 40
We developed a method for analyzing the facial expressions of a person having a conversation on a videophone. This was implemented on a wireless local area network, consisting of two personal computers and a router; the subject and the operator are placed in front of each computer. The module contains...
Madoka Takahara, Jilin Huang, Ivan Tanev, Katsunori Shimohara
Pages: 50 - 54
This paper describes a possible new scheme for a user with mental health problems to identify his/her own mental state and control it. For that purpose, we propose an indirect biofeedback system which represents physiological information with color and shape, and enables the user to grasp his/her inner...
Yusuke Kawakami, Tetsuo Hattori, Yoshiro Imai, Yo Horikawa, Kazuaki Ando, R. P. C. Janaka Rajapakse
Pages: 55 - 60
Previously, we have illustrated that the Histogram Matching based on Gaussian Distribution (HMGD) is an effective automated image processing method for obtaining a better feeling impression image. However, the simple HMGD works only for the image whose histogram has just one peak. For the image whose...
Sho Yamauchi, Keiji Suzuki
Pages: 65 - 68
Robot is designed for achieving specific task. However, robot is able to do much more things than it is expected by its own hardware. In this paper, concept of conquest oriented robot is proposed to know its availability systemati-cally and autonomously. Algorithm of conquest oriented robot and its experimental...