• Title/Summary/Keyword: Affordence

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Motivation-Based Action Selection Mechanism with Bayesian Affordance Models for Intelligence Robot (지능로봇의 동기 기반 행동선택을 위한 베이지안 행동유발성 모델)

  • Son, Gwang-Hee;Lee, Sang-Hyoung;Huh, Il-Hong
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.264-266
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    • 2009
  • A skill is defined as the special ability to do something well, especially as acquired by learning and practice. To learn a skill, a Bayesian network model for representing the skill is first learned. We will regard the Bayesian network for a skill as an affordance. We propose a soft Behavior Motivation(BM) switch as a method for ordering affordances to accomplish a task. Then, a skill is constructed as a combination of an affordance and a soft BM switch. To demonstrate the validity of our proposed method, some experiments were performed with GENIBO(Pet robot) performing a task using skills of Search-a-target-object, Approach-a-target-object, Push-up-in front of -a-target-object.

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A Study on the Affordence of Built Environment and the Life Satisfaction of the Elderly Residents at Welfare Facilities (양로시설 입소노인의 생활만족도 향상을 위한 건조환경의 지원성에 관한 연구)

  • Kim, Gab-Dong;Park, Jae-Seung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.6 no.10
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    • pp.7-14
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    • 2000
  • The aim of this study is to derive design guidelines which improve the life satisfaction of elderly residents at welfare facilities. There are many factors affecting on satisfaction with life of the institutionized elderly, but this study focuses on architectural factors. So, two factors are derived, the first factor is the behavier facilitation and the second is the social-interaction. In this study, the behavier facilitation, which was considerd by elderly's physical feature, means safety, discrimination and adaptability. The social interaction, which was considerd by elderly's psychological feature, was supported by homogeneous, approximate, privacy, territoriality, personalization, and control.

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Affordance Feature based on EEG for the Implementation of Mirror Neuron System (거울신경체계 구현을 위한 EEG 데이터 기반 행동 유도성 특징 분석)

  • Jun-Ho Choi;Seungmin Park
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.357-358
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    • 2023
  • 본 연구는 실제 행동과 운동 심상으로 팔과 다리 동작 인식을 위한 BCI 패러다임을 제안하고 유도성 분석을 한다. 이 페러다임은 각 팔과 양다리의 특정 움직임을 인식하기 위해 ERP를 기반 페러다임을 구성한다. BCI 페러다임은 왼팔, 오른팔, 양다리를 움직이는 영상 자극을 주며 이를 기반으로 왼팔, 오른팔, 양다리 움직임에 대한 인식을 한다. 거울뉴런은 실제 행동과 실제 행동을 보았을때와 운동심상을 통한 자극을 받았을 때 같은 뉴런이 활성화된다는 성질을 가지고 있다. 이러한 성질을 이용하여 운동심상만과 실제 행동을 동시에 학습할 경우를 유도성 분석을 진행한다. 또한 유도성 특징 분석을 통해 나타난 결과를 바탕으로 BCI 패러다임을 제안한다.

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