iSpace Coding: A System for User-Defined Flexible Spatial Functions in Intelligent Spaces
Research on Intelligent Space (iSpace) has been conducted to perceive the state of a space using distributed sensors and provide appropriate services and information to users. While it is essential to create a convenient environment for users, the required functionalities of a space vary among individuals. This study proposes a system called Intelligent Space Coding (iSpace Coding), which flexibly interprets user requirements and appropriately reflects them in the space, enabling anyone to construct their own iSpace freely. Within a space defined by iSpace Coding, predefined functionalities are activated when specified conditions are met. This paper establishes the fundamental technologies of iSpace Coding by defining basic spatial functions. Users can define spatial functions by combining conditions with virtual objects and controlling home appliances through intuitive operations or natural language input. Experiments confirmed that the defined spatial functions were successfully implemented.
Authors
- Yasuyuki Fujii (ORCID: https://orcid.org/0000-0001-8958-7124)
- Dinh Tuan Tran (ORCID: https://orcid.org/0000-0001-7443-9102)
- Shigeo Yoshida (ORCID: https://orcid.org/0000-0003-1049-8909)
- Joo‐Ho Lee (ORCID: https://orcid.org/0000-0003-1015-5615)
- Kishan Kesari Gupta
Institutions
- Ritsumeikan University (JP)
- Shiga University (JP)
- Capgemini (Netherlands) (NL)
Publication Details
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1109/ur65550.2025.11078030
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ritsumeikan Global Innovation Research Organization, Ritsumeikan University