Abstract
Manually registering the spatial positions of numerous Internet of Things (IoT) devices within an Extended Reality (XR) environment is a cumbersome process for users. This lack of automated spatial mapping limits the ability to perform context-aware interactions with these devices. The disclosed method addresses this by using an XR device’s vision and depth sensors to first detect a potential IoT device and estimate its 3D position. The XR device then sends a network-based request to candidate devices, instructing them to provide a confirmation signal, such as illuminating an LED. When the XR device’s camera detects this signal, the device's identity is matched to the determined spatial coordinates. This process can automate the spatial registration of IoT devices, enabling seamless contextual interactions without manual user configuration.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Yu, Michael Christopher, "Automated Spatial Localization of IoT Devices via Visual Detection and Network-Initiated Feedback", Technical Disclosure Commons, (December 15, 2025)
https://www.tdcommons.org/dpubs_series/9030