IEEE P3827

New IEEE Standard - Active - Draft.
This standard defines essential requirements and guidelines for establishing a data asset infrastructure for smart home systems, with an emphasis on multimodal data fusion. Key topics include architecture design, data acquisition, preprocessing, fusion strategies, representation, storage, and application. The standard aims to help ensure interoperability, data consistency, and robust performance across heterogeneous devices and modalities in smart home environments. Its adoption can support system designers, service providers, and evaluators in developing scalable, reliable, and efficient smart home data ecosystems.

This standard provides requirements and guidelines for the design, implementation, and evaluation of data assets derived from smart home systems, with a focus on multimodal data fusion. It covers the system architecture, data collection, preprocessing, fusion techniques, representation, storage, analysis, and applications of data assets in smart home environments.
This standard is applicable to:
- smart home systems that integrate multiple sensor modalities and data sources;
- data fusion processes that combine heterogeneous data to derive insights and support decision-making;
- data management and storage systems that handle diverse data types and formats;
- data analysis and application scenarios, such as activity recognition, behavior analysis, and personalized services;
- performance evaluation and benchmarking of data fusion methods and systems.
This standard does not cover:
- the design and manufacture of individual sensors or devices used in smart home systems;
- the development of specific algorithms or models for data fusion tasks;
- the ethical and legal aspects of data collection and use in smart home environments;
- the security and privacy mechanisms for protecting sensitive data assets.