TV Viewing-Based Home Appliance Control With AI Usage Inference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face inconvenience when controlling home appliances separately while watching TV, as they need to perform additional actions beyond operating the TV, which can be time-consuming and inefficient.
Innovation Solution
A display device equipped with a storage unit for a learned usage pattern inference model using deep or machine learning algorithms, and a network interface to communicate with an AI server, allowing it to automatically control home appliances based on viewing patterns, eliminating the need for separate actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users separately control home appliances while watching TV, then each appliance can be operated independently, but the user needs to perform multiple additional actions which increases operation complexity and time consumption
Solution Approach 1:
The patent merges the control of multiple home appliances with the TV operation by detecting viewing situations (channel, program, time) and automatically inferring and executing corresponding appliance operations. This combines what were previously separate control tasks into a unified system where TV viewing context triggers automated appliance control, eliminating the need for separate manual operations.
Solution Approach 2:
The system performs self-service by automatically detecting the viewing situation and autonomously determining and executing the appropriate home appliance operations without requiring user intervention. The inference model automatically maps viewing contexts to appliance control actions, allowing the system to serve itself and the user simultaneously by eliminating manual control steps.
2Adaptability or versatility
If users separately control home appliances while watching TV, then each appliance operation can be customized, but the time required for multiple operations increases
Solution Approach 1:
The system performs preliminary action by pre-establishing the inference model that maps viewing situations to appliance operations. During actual use, the system has already prepared the correspondence relationships between TV channels/programs and appliance operations, allowing instant automated execution without real-time decision delays or multiple manual steps.
Solution Approach 2:
The system uses feedback by continuously monitoring the viewing situation (channel, program, time) and using this information to automatically adjust and execute corresponding appliance operations. The inference model processes the viewing context feedback and translates it into appropriate appliance control actions, creating a closed-loop system that adapts to user viewing behavior.
3Extent of automation
If the system automatically controls home appliances based on viewing patterns, then the number of user actions is reduced, but the system requires complex learning algorithms and AI processing
Solution Approach 1:
The patent introduces an inference model as an intermediary between TV viewing detection and appliance control execution. This intermediary component processes the viewing situation data and translates it into appropriate appliance operations, acting as a bridge that manages the complexity of automation while keeping the overall system architecture manageable and modular.
Data Source
AI summary
According to an embodiment of the present invention, a display device for controlling one or more home appliances in consideration of a viewing situation can include: a display unit; a storage unit configured to store a learned usage pattern inference model by using a deep learning algorithm or a machine learning algorithm; a user input interface unit configured to receive a viewing event; and a control unit configured to obtain a viewing pattern from the received viewing event, to use the usage pattern inference model to obtain a usage pattern of the one or more home appliances from the obtained viewing pattern, and to display, on the display unit, usage recommendation information indicating the obtained usage pattern.