Personalized Home Automation via Individualized User Profiling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current home automation systems lack the ability to provide personalized and tailored features to individual users, failing to adapt to the unique preferences and habits of specific individuals within a household.
Innovation Solution
A method and system for personalized home automation control based on individualized profiling, which uses sensors to detect and analyze the actions, locations, and device operations of identified individuals, applying predefined rules to anticipate and adjust settings of home automation devices accordingly, allowing for dynamic and tailored responses to the presence and movements of recognized individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If home automation systems use generic control rules for all users, then system simplicity is maintained, but personalization and user-specific adaptability are lost
Solution Approach 1:
The system segments users into different profiles with individualized patterns of activity. Each user profile contains specific sensor data, location information, and device operation patterns that are analyzed separately to generate personalized home automation rules, allowing the system to provide customized control for each individual while maintaining a structured framework
Solution Approach 2:
The system performs preliminary analysis of sensor data to establish patterns of activity for each user profile before actual home automation control is needed. By pre-processing and storing individualized user patterns, the system prepares personalized rule sets in advance, enabling rapid response when users are present without requiring complex real-time analysis
2Measurement precision
If home automation systems analyze detailed sensor data to identify individual patterns, then personalization accuracy is improved, but data processing requirements and system resource consumption increase
Solution Approach 1:
The system applies partial analysis by focusing on specific sensor data elements that are most indicative of individual user patterns, such as location information and device operation preferences. Rather than processing all possible sensor data, the system selectively analyzes the most relevant parameters to achieve accurate personalization with reduced computational overhead
3Manufacturing precision
If home automation systems implement comprehensive individual profiling, then user-specific control precision is enhanced, but implementation complexity and setup requirements increase
Solution Approach 1:
The system implements self-service by automatically collecting sensor data and generating individualized user profiles without requiring manual configuration. The control system autonomously analyzes sensor information, identifies patterns of activity, and creates personalized home automation rules, eliminating the need for complex manual setup while achieving high control precision
Data Source
AI summary
Disclosed are methods, systems, and non-transitory, machine-readable media that facilitate personalized home automation control based at least in part on individualized protocol. First sensor data may be received, and may be indicative of an identified individual that is sensed by a set of sensors. A particularized pattern of activity of individual may be determined. Second sensor data may be indicative of an unidentified individual. Identification rules specified by a stored protocol record may include criteria for identifying sensed individuals. The second sensor data and/or identification information from another data source may be analyzed to identify the unidentified individual. A home automation rule may be determined based on the particularized pattern, which rule may include an anticipation of an operational setting of a home automation device. The home automation device may be instructed based on the determined home automation rule.