Single Sensor Facial Expression and Bioanalysis via Frequency Separation
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Solution Overview
Problem
Conventional technologies require multiple sensors to acquire both facial-expression information and bioinformation, making it difficult to realize a wearable apparatus due to issues with physical shape, weight, power consumption, and sensor interference.
Innovation Solution
An information processing apparatus with a light-receiving section that receives reflection light from a user's face and a light-reception-signal analyzing section that analyzes this light to perform both facial-expression analysis and bioanalysis using a single sensor, by extracting low-frequency components for facial-expression analysis and high-frequency components for bioanalysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are arranged to acquire both facial-expression information and bioinformation, then measurement precision is improved, but device complexity and weight increase
Solution Approach 1:
The patent applies multi-functionality by enabling a single sensor to perform both facial-expression analysis and bioinformation acquisition through frequency component separation. The light-receiving section captures reflection light containing both facial expression data (low-frequency components) and bioinformation (high-frequency components), allowing one sensor to replace multiple sensors while maintaining measurement precision for both functions
Solution Approach 2:
The patent applies segmentation by dividing the light-reception signal into different frequency components. The signal processing section separates low-frequency components (for facial-expression analysis) from high-frequency components (for bioinformation), enabling simultaneous acquisition of both types of information from a single sensor output without interference
2Measurement precision
If multiple sensors are arranged to acquire both facial-expression information and bioinformation, then measurement precision is improved, but weight increases
Solution Approach 1:
The patent applies multi-functionality by enabling a single sensor to perform both facial-expression analysis and bioinformation acquisition through frequency component separation. The light-receiving section captures reflection light containing both facial expression data (low-frequency components) and bioinformation (high-frequency components), allowing one sensor to replace multiple sensors while maintaining measurement precision for both functions
3Measurement precision
If multiple sensors are arranged to acquire both facial-expression information and bioinformation, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent applies multi-functionality by enabling a single sensor to perform both facial-expression analysis and bioinformation acquisition through frequency component separation. The light-receiving section captures reflection light containing both facial expression data (low-frequency components) and bioinformation (high-frequency components), allowing one sensor to replace multiple sensors while maintaining measurement precision for both functions
4Device complexity
If sensors are arranged at one location on the face to acquire both facial-expression information and bioinformation, then device complexity is reduced, but sensor interference occurs
Solution Approach 1:
The patent applies segmentation by dividing the light-reception signal into different frequency components. The signal processing section separates low-frequency components (for facial-expression analysis) from high-frequency components (for bioinformation), enabling simultaneous acquisition of both types of information from a single sensor output without interference
Solution Approach 2:
The patent applies parameter changes by utilizing different frequency parameters of the light-reception signal. By analyzing low-frequency components for facial expressions and high-frequency components for bioinformation, the system extracts different types of information from the same sensor output based on frequency parameter differentiation, preventing signal interference
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 the simultaneous execution of facial-expression analysis and bioanalysis using a single sensor, improving the feasibility of wearable devices by reducing the number of sensors needed and minimizing interference.
Implementation Method 1
a light-receiving section that receives reflection light of light emitted to a user face
Data Source
AI summary
An information processing apparatus that includes a light source that emits light to a user face, a light-receiving element that receives reflection light of light emitted to a user face, and a processor that generates both facial-expression analysis information and bioanalysis information based on the reflection light received by the light-receiving element.