拡張現実と分布型触覚センサを組み合わせた認知症ケア教育システムの開発:シナリオに基づく訓練システムと実証試験

平松 知樹, 亀井 雅哉, 井上 大路, 林 拓真, 河村 晃宏, 倉爪 亮

研究成果: Contribution to journalArticle

抄録

<p>This paper proposes a training system for a multimodal comprehensive care methodology for dementia patients named Humanitude. Humanitude has been attracting much attention as an effective care technique for dementia patients. Humanitude consists of four main techniques, namely, eye contact, verbal communication, touch, and standing up, and more than 150 care elements. Learning Humanitude thus requires much time. To train Humanitude effectively, we develop a training systemthat realizes sensing and interaction simultaneously by combining areal entity and augmented reality technology. To imitate the interaction between a patient and a caregiver, we superimpose a three-dimensional CG model of a patient's face onto the head of a soft doll using augmented reality technology. Touch information such as position and pressure is sensed using a whole body wearable tactile sensor. The effectiveness of the proposed training system is evaluated in public lectures.</p>
寄稿の翻訳タイトルDevelopment of dementia care training system combining augmented reality and distributed tactile sensor:Scenario-based training system and demonstration
本文言語日本語
ページ(範囲)1A1-D09
ジャーナルロボティクス・メカトロニクス講演会講演概要集
2020
0
DOI
出版ステータス出版済み - 2020

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「拡張現実と分布型触覚センサを組み合わせた認知症ケア教育システムの開発:シナリオに基づく訓練システムと実証試験」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

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