Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments
Not on the map. Why?
Abstract (arXiv)
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
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 17 references that are in the map. First posted on arXiv 26 Jan 2024.
Builds on
10 of 17 references.
References · 10
- 2016Complex Embeddings for Simple Link Predictioncited by 897
- 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 893
- 2018VirtualHome: Simulating Household Activities via Programscited by 411
- 2021A Comprehensive Survey of Scene Graphs: Generation and Applicationcited by 125
- 2020DGL-KE: Training Knowledge Graph Embeddings at Scalecited by 67
- 2018EventKG: A Multilingual Event-Centric Temporal Knowledge Graphcited by 43
- 2021What is Event Knowledge Graph: A Surveycited by 19
- 2020RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddingscited by 16
- 2023Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Spacecited by 5
- 2019Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI Systemcited by 2
Built on by
Citing papers per year: 2024: 1.
1 paper.