マーカレスで非接触なセンサを用いた住宅内での動作予測に関する研究

Translated title of the contribution: Research on motion prediction in a house using a markerless and non-contact sensor

Yosuke Kimura, Ami Ogawa, Akira Mita

Research output: Contribution to journalArticle

Abstract

Biofied building is a building system that provides safe, secure and comfortable space for residents using a robot. The robot acquires the motions and positions of residents. However, it is difficult to control the robot not to disturb the residents’ activities. The purpose of this research is to incorporate motion prediction in addition to motion recognition. Many of the conventional methods use RNN (Recurrent Neural Networks), which is difficult to implement due to the necessity of big data and large calculation cost. Thus, we aim to propose a simple motion prediction method using a human body model based on dynamics.

Translated title of the contributionResearch on motion prediction in a house using a markerless and non-contact sensor
Original languageJapanese
Pages (from-to)793-797
Number of pages5
JournalAIJ Journal of Technology and Design
Volume26
Issue number63
DOIs
Publication statusPublished - 2020 Jun

ASJC Scopus subject areas

  • Architecture
  • Building and Construction

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