Interaction Robot Emotion Classifier Using Color and Motion Output
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current interactive robots lack the ability to accurately grasp and sympathize with human emotions, limiting their capacity for meaningful emotional communication and psychological satisfaction.
Innovation Solution
A method and server for controlling interactive robots that receive user inputs, determine responses, and output corresponding emotions through color and motion matching, utilizing an emotion classifier and light emitting units to simulate emotional understanding and interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If interactive robots use passive input-output interactions, then device complexity is reduced, but emotional communication capability deteriorates
Solution Approach 1:
The patent applies color changes by equipping the interaction robot with light-emitting units that emit different colors corresponding to different emotions. The emotion classifier analyzes user inputs and determines emotional states, which are then visually represented through color changes in the light-emitting units, enabling the robot to express emotions without complex mechanical changes
Solution Approach 2:
The patent implements parameter changes by modifying the robot's output parameters to include emotional dimensions. The emotion classifier processes user inputs and generates emotional responses that are expressed through multiple parameters including color (for light-emitting units), motion patterns (for driving units), and voice tone, thereby enhancing emotional communication capability while maintaining relatively simple device architecture
2Adaptability or versatility
If interactive robots implement emotional classification and visual output, then emotional communication capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces an emotion classifier as an intermediary component that bridges user inputs and robot responses. This emotion classifier analyzes various input modalities (voice, gesture, facial expression) and determines emotional states, which then guide the selection of appropriate output actions across different device components, simplifying the overall control architecture while enabling sophisticated emotional communication
Solution Approach 2:
The patent implements multi-functionality by designing a unified control system where the emotion classifier serves multiple purposes: analyzing user inputs, determining robot responses, and coordinating outputs across different device components (light-emitting units, driving units, voice output). This universal approach allows a single core module to handle diverse emotional communication tasks without requiring separate specialized systems for each function
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables interactive robots to accurately grasp and sympathize with human emotions, providing psychological satisfaction and facilitating emotional communication by simulating understanding and interaction, making the experience feel more human-like.
Implementation Method 1
outputting a color matching to the received user input or the determined robot response to a light emitting unit
Data Source
AI summary
A control method of an interaction robot according to an embodiment of the present invention comprises the steps of: receiving a user input, by the interaction robot; determining a robot response corresponding to the received user input, by the interaction robot; and outputting the determined robot response, by the interaction robot, wherein the step of outputting the determined robot response includes the steps of: outputting a color matching to the received user input or the determined robot response to a light emitting unit, by the interaction robot; and outputting a motion matching to the received user input or the determined robot response to any one or more among a first driving unit and a second driving unit, by the interaction robot.