SISG4HEI_Alpha: Alpha version of simulated indoor scenario generator for houses with elderly individuals

Can Jiang, Akira Mita

研究成果: Article査読

2 被引用数 (Scopus)


Developers improve and test the sensor networks and robots of smart houses by conducting simulations. However, they need to build scenarios in the simulators manually, which takes a lot of time. Manually built scenarios are also few in number. Moreover, developers have to repeat this procedure whenever they conduct a simulation with the same scenario on another simulator. To address these issues, we have developed a simulation tool (alpha version), called SISG4HEI_Alpha, which produces diverse simulated indoor scenarios of houses with elderly individuals for multiple simulators. It consists of a GUI, database, three generators, and interfaces. The spatial attribute generator produces virtual spatial data necessary for building the models of the house and furniture. The activity schedule and travel pattern generator generate resident's information to control the virtual agent within a simulator. One interface converts the generated data into simulated PIR sensor records, which are simulation results of the OPENSHS simulator. The two other interfaces convert data into scenarios of the Stage and Gazebo simulators. SISG4HEI_Alpha is modular and extensible; it is easy to improve the generators and/or add new interfaces.

ジャーナルJournal of Building Engineering
出版ステータスPublished - 2021 3月

ASJC Scopus subject areas

  • 土木構造工学
  • 建築
  • 建築および建設
  • 安全性、リスク、信頼性、品質管理
  • 材料力学


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