EgoLife
EgoLife is a long-term, multi-modal, multi-perspective daily life AI assistant project aimed at advancing long-term context understanding research.
Product Details
EgoLife is an AI assistant project for long-term, multi-modal and multi-perspective daily life. By recording the shared life experiences of six volunteers for a week, the project generated approximately 50 hours of video data, covering daily activities, social interactions and other scenes. Its multi-modal data (including video, line of sight, IMU data) and multi-view camera system provide rich contextual information for AI research. In addition, the project proposed the EgoRAG framework to solve long-term context understanding tasks and promote the application capabilities of AI in complex environments.
Main Features
How to Use
Target Users
The EgoLife project is suitable for scholars and developers engaged in AI research, especially those teams focusing on long-term context understanding, multi-modal fusion, multi-view video analysis, and social interaction research. Its rich data sets and framework provide strong support for research in related fields.
Examples
Researchers can use the EgoLife dataset to train AI models to understand the development of events in long-term videos.
Developers can develop new video analysis tools based on EgoLife's multi-modal data for smart home or health monitoring.
Educators can use social interaction data from the EgoLife project to study patterns in human behavior.
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