Knowledge-Graph Function Switching From User State and Body Part Use
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Solution Overview
Problem
Existing electronic devices lack the ability to selectively execute functions based on the recognition and prediction of user behavior, failing to adapt their operations to the user's current state and actions.
Innovation Solution
The electronic device utilizes a knowledge graph to recognize and predict user actions, identifying relationships between user states and body parts to selectively execute functions, and adjust operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the electronic device executes multiple functions based on user state recognition, then the adaptability and personalization are improved, but the device complexity increases
Solution Approach 1:
The patent segments the function execution system into distinct modules: a state recognition module that identifies user states, a body part usage analysis module that determines which body parts are being used, and a function selection module that chooses appropriate functions based on the analyzed information. This segmentation allows the complex adaptive system to be built from manageable components.
Solution Approach 2:
The patent introduces an intermediary knowledge graph that stores relationships between user states, body parts, and functions. This knowledge graph acts as a mediator that translates raw sensor data about user behavior into structured information that can guide function selection, reducing the complexity of direct mapping between states and functions.
2Measurement precision
If the electronic device monitors and compares body part usage to select functions, then the personalization accuracy is improved, but the measurement precision requirements increase
Solution Approach 1:
The patent applies partial action by focusing monitoring efforts only on the body parts that are currently being used, rather than continuously monitoring all body parts. The system identifies which body parts are in use and directs measurement resources accordingly, achieving high personalization accuracy without requiring excessive measurement precision across all possible body parts simultaneously.
Solution Approach 2:
The patent changes the parameter being measured from raw sensor data to semantic categories of body part usage. Instead of requiring precise measurements of body part positions and movements, the system transforms this data into categorical information about which body parts are being used and in what context, reducing measurement precision requirements while maintaining personalization accuracy.
3Ease of operation
If the electronic device selectively executes functions based on user behavior recognition, then the ease of operation is improved, but the loss of information increases
Solution Approach 1:
The patent performs preliminary action by pre-building a knowledge graph that contains relationships between user states, body parts, and appropriate functions. This pre-processed information structure allows the device to quickly and accurately select functions based on current user behavior without losing important contextual information that would otherwise need to be processed in real-time.
Solution Approach 2:
The patent implements feedback loops where the system continuously monitors user state and body part usage, compares this information against the knowledge graph, executes appropriate functions, and then updates its understanding of user behavior patterns. This feedback mechanism ensures that information is preserved and utilized to improve future function selections, preventing information loss while enabling easy operation.
Data Source
AI summary
A method of an electronic device is provided. The method includes obtaining, from a memory of the electronic device, information indicating a usage relationship between distinct states of a user of the electronic device and at least one body part, identifying a first state of the user corresponding to a first function among a plurality of functions executable by the electronic device, identifying an event for executing a second function different from the first function, comparing, in response to identifying the event, a first body part used by the user associated with the first state and a second body part used by the user associated with a second state corresponding to the second function, based on the obtained information, and executing, in response to the identified event, a third function indicated in the information as being associated with the second function, based on a result of the comparing.