METHOD AND DEVICE FOR CONTROLLING A SMART DEVICE

Smart overview of the Invention

A method for controlling smart devices involves analyzing user interactions with home furnishing products through sensor data from imaging sensors. This process identifies specific activities users engage in with furniture, such as sitting or touching, and compares these activities against a predefined set of interactions. Each interaction is linked to rules that dictate how a smart device should respond, enabling seamless control based on user behavior.

Technological Context

The rise of Internet of Things (IoT) devices has transformed homes into interconnected environments where various household items can be controlled remotely. The integration of smart features into furniture enhances user convenience and can assist in health care by monitoring user activity. Examples include chairs that trigger lighting when occupied or sofas that activate entertainment systems when interacted with.

Method Functionality

The method utilizes imaging sensors to capture data about user-furniture interactions, which may include various types of sensor data like images or infrared readings. By employing advanced technologies such as 3D scanning and object detection algorithms, the system can accurately identify both the user and the specific piece of furniture involved in the interaction without needing additional retrofitted sensors.

Customization and Efficiency

Identifying users allows for personalized interactions based on individual preferences, while recognizing specific home furnishings enables tailored responses to similar activities across different products. This approach enhances computational efficiency by reducing memory and storage needs through shared functional roles among similar furniture types, such as chairs and sofas.

Interaction Flexibility

User-furniture interactions can encompass a variety of motions and positions, providing flexibility in how commands are issued to smart devices. For instance, resting an arm on an armrest or standing up may trigger different responses based on the context of the interaction. This adaptability ensures that the system can cater to diverse user behaviors while maintaining intuitive control over connected devices.