This describes a system for smart homes that collects information from various smart devices, such as where a person is located within the home and what they are currently doing. This collected information is then analyzed by a central computer system to manage the smart home environment. The system aims to use this understanding of user presence and activity to automate various functions.
Why it matters: Filed before widespread adoption of advanced machine learning for real-time behavioral inference from diverse sensor data. Today, more powerful and accessible AI models can significantly enhance the accuracy and responsiveness of analyzing user location and activity to manage smart environments.
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