Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments
This provides a resource for researchers tackling home safety issues, but it is incremental as it builds on existing synthetic data and challenge frameworks.
The authors created a synthetic multimodal dataset combining video from a 3D simulator with knowledge graphs to model daily activities, aimed at identifying hazards in home environments for safety and well-being.
This paper presents a synthetic multimodal dataset of daily activities that fuses video data from a 3D virtual space simulator with knowledge graphs depicting the spatiotemporal context of the activities. The dataset is developed for the Knowledge Graph Reasoning Challenge for Social Issues (KGRC4SI), which focuses on identifying and addressing hazardous situations in the home environment. The dataset is available to the public as a valuable resource for researchers and practitioners developing innovative solutions recognizing human behaviors to enhance safety and well-being in