Abstract
Smart devices, which may also be referred to as smart electronic devices, may include always-on presence detection. In some situations, however, the always-on presence detection may activate unintentionally, responding to a user's presence even when no interaction with the smart device is intended. This can be disruptive, particularly, for example, when a user's movement at night inadvertently powers on a smart television in a bedroom.
The disclosed technology coordinates multiple smart devices within a local environment to infer user intent more accurately. A dynamically elected leader device may aggregate proximity and activity signals from various sensors in the environment of the user. For example, the leader device may receive proximity and activity signals from a user’s wearable device indicating that the user is sleeping. Based on this aggregated data, the leader device may issue commands to other smart devices in the environment of the user. The commands may be directed towards managing the state of the smart device, such as, for example, disabling presence detection on a smart television if the user is sleeping. The aggregating of proximity and activity signals from various sensors in the environment of the user by the leader device and the issuing of commands to smart devices in the environment of the user based on the aggregated data may prevent unwanted smart device activations, creating a more context-aware and responsive smart home environment.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Soland, Michael Paul, "User Intent Inference Using Aggregated Signals in a Smart Home Environment", Technical Disclosure Commons, (October 16, 2025)
https://www.tdcommons.org/dpubs_series/8732