• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.109-117
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• 2013

This research is for selection of animal and establishment of guideline which for animal robot design for the purpose of emotionally disturbed children's psychotherapy. In the case of emotionally disturbed children because of poor expression about themselves's emotional condition, there are many restriction in the existing cure and educational method. Using research method of animal shape robot which is starting to make attempt since the late 1990s is effective to learning disturbed children. For the development of animal robot for psychotherapy of emotionally disturbed children first of all which animal is selected is very important. Therefore at the early stage of research preference surveyed to children including emotionally disturbed children and decide an object of animal robot. And what kind of shape is very preferred is also preference surveyed. Through focusing group interview about shape, color, facial expression, sound, and move which have an influence on outward shape design of robot, present the guideline which is needed to animal robot design for emotionally disturbed children.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.57-63
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• 2015

Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.3
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• pp.112-117
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• 2009

An animal assisted therapy (AAT) for handicapped child's psychotherapy has been reported by some researches. A robot can be substituted for the role of a real animal of the AAT. The robot for the AAT is called RAT (Robot Assisted Therapy). It consists of four parts: microprocessor-based MCU(Micro Control Unit), sensing part with various sensors, the movement part operated by some motors, and the exterior with soft feel. We will here introduce the RAT.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.335-347
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• 2018

The purpose of this study was to find more effective mental health intervention for school based intervention with mental health problem in an elementary school. A systematic review was conducted according to the PRISMA checklist. We accessed databases including RISS, KISS, and the National Assembly Library of Korea. Subject studies were classified according to type of intervention, subject characteristic, and evaluation. Finally, twenty-five studies matched the inclusion criteria. According to types of intervention, it was classified into four types which are psychoeducation(self-management skills, social skills, social emotional learn ing), behavior intervention(positive behavior support, modeling), psychotherapy(art therapy, counseling and parent coaching), and recreation intervention(robot intervention, horticultural therapy). The most of subjects were intellectual disability, the following subjects were ADHD. The most areas of evaluation were emotional change and attention. The findings of this review support school based intervention and provide evidence. And it can be used as an important basic data for preparing more effective mental health-related school-based interventions.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.233-242
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• 2019

Numerous space perception studies have shown that Euclidean 3-D structure cannot be recovered from binocular stereopsis, motion, combination of stereopsis and motion, or even with combined multiple sources of optical information. Humans, however, have no difficulties to perform the task-specific action despite of poor shape perception. We have applied humans skill and capabilities to artificial intelligence and computer vision but those machines are still far behind from humans abilities. Thus, we need to understand how we perceive depth in space and what information we use to perceive 3-D structure accurately to perform. The purpose of this paper was to review space perception literatures to apply humans abilities to artificial intelligence robots more advanced in future.