Spectrometer for Context Inference
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Solution Overview
Problem
Current mobile devices lack a practical and low-power sensor to determine user context, as ambient light sensors provide limited information, and cameras consume excessive power when continuously used for environmental analysis.
Innovation Solution
Integration of a spectrometer in portable devices to characterize ambient light, allowing for context inference by analyzing light frequencies, which is more power-efficient than conventional cameras, and can be combined with data from other sensors for enhanced context awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a camera is used to capture light information for environmental analysis, then context information can be obtained, but power consumption increases significantly
Solution Approach 1:
The patent extracts only the essential spectral information from ambient light rather than capturing full images. The spectrometer isolates and measures specific wavelength components of light to infer contextual information such as time of day, lighting conditions, and environment type, thereby obtaining sufficient context data with minimal power consumption.
Solution Approach 2:
The spectrometer creates a simplified spectral signature copy of the ambient light environment rather than capturing the complete visual scene. This spectral copy contains enough information to determine contextual characteristics while requiring far less processing power and energy than full image capture and analysis.
2Use of energy by moving object
If an ALS sensor is used to sense surrounding light levels, then power consumption is low, but the information provided regarding surroundings is limited
Solution Approach 1:
The patent transitions from measuring only light intensity (one dimension) to measuring the spectral composition across multiple wavelengths (multiple dimensions). The spectrometer analyzes the distribution of light energy across different frequency bands, adding spectral dimensionality to the measurement and enabling richer contextual inference while maintaining low power consumption.
Solution Approach 2:
The invention changes the measurement parameter from simple illuminance level to spectral power distribution across multiple wavelength bands. By measuring how light intensity varies with wavelength, the system can distinguish between different light sources (natural vs. artificial), times of day, and environmental conditions, providing significantly more contextual information with the same low-power sensor approach.
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
The spectrometer-based method effectively determines user context with lower power consumption, enabling more accurate and efficient context awareness by analyzing ambient light frequencies, and can be used to detect changes in surroundings, location, and social environments, thereby optimizing device settings and resource management.
Implementation Method 1
A spectrometer can use light information to infer context of a user. A spectrometer does not collect images, but characterizes the frequency spectrum of light.
Data Source
AI summary
A method of performing context inference is described. The method includes collecting ambient light at a spectrometer sensor integrated in a portable device, characterizing the collected light to obtain optical information, comparing the optical information to optical data predetermined to match one or more contexts, inferring at least one characteristic of a specific context based on the comparison, and determining a probability that the portable device is in the specific context.