Camera Mode Control via Bio-Signal Detection
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Solution Overview
Problem
Users face challenges in changing camera settings, such as frame rate and resolution, to suit specific situations, especially in emergency scenarios where appropriate image capture is hindered by the inability to adjust the camera mode in real-time.
Innovation Solution
A method and system that utilize bio-signals from wearable sensors to automatically adjust the camera's operating mode, determining the user's state and setting the camera to low-power mode or other modes based on the type of bio-signal detected, such as ECG, EEG, EMG, and temperature sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera operates in high-resolution mode continuously, then image quality is maintained, but energy consumption increases and battery life decreases
Solution Approach 1:
The camera dynamically adjusts its operating mode (resolution, frame rate) based on real-time detection of user bio-signals and situational context, transitioning between static high-resolution mode and dynamic adaptive mode to optimize energy consumption while maintaining image quality when needed
Solution Approach 2:
The system changes camera parameters (resolution, frame rate) based on detected user state and environmental factors, switching between high-resolution mode for important events and lower-resolution mode for routine situations to reduce energy consumption
2Measurement precision
If the camera operates at high frame rate and resolution, then image capture quality is improved, but memory usage increases
Solution Approach 1:
The camera captures high-quality images selectively only when bio-signals indicate important events or situations, rather than continuously capturing at high frame rate, thus reducing overall memory usage while maintaining image capture quality when needed
Solution Approach 2:
The system dynamically changes camera parameters including frame rate and resolution based on detected user state and situational importance, using high settings only when necessary to reduce memory consumption during routine operation
3Adaptability or versatility
If the user manually changes camera settings, then operating mode adapts to situation, but response time increases and may be missed in emergencies
Solution Approach 1:
The camera system automatically detects user bio-signals and situational context to self-adjust operating modes without requiring manual user intervention, enabling immediate response to emergencies while adapting to user needs
Solution Approach 2:
The system continuously monitors user bio-signals (heart rate, temperature) and environmental data, using this feedback to automatically adjust camera settings in real-time, ensuring rapid response to changing situations without manual input delays
4Use of energy by moving object
If the camera uses low-power mode, then energy consumption is reduced, but image capture capability is limited
Solution Approach 1:
The camera dynamically transitions between low-power mode and high-performance mode based on real-time detection of important events through bio-signal analysis, maintaining energy efficiency during routine operation while ensuring full image capture capability when needed
Solution Approach 2:
The system changes camera operating parameters based on detected situational importance, using low-power settings for routine situations and switching to high-resolution/high-frame-rate modes when bio-signals indicate significant events
Data Source
AI summary
Provided are an operation method for a camera operation apparatus, the method including the steps of: obtaining a bio-signal of a user from a wearable sensor; determining, based on the bio-signal, whether a state of a user is a stable state; setting the camera to a low power mode if the state of the user is a stable state; determining the type of bio-signal if the state of the user is not a stable state; and setting the camera to a mode in accordance with the type of the bio-signal.