Wearable Camera Biorhythm Trigger Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current smartphone image capture methods require active user interaction or short delays, lacking the ability to automatically generate images based on biological triggers like heart rate or respiration, which limits the capture of moments with minimal user intervention.
Innovation Solution
A wearable camera system that includes a processor to receive and compare biorhythm signals to predetermined thresholds, automatically triggering the camera to take pictures or videos when specific biorhythms are detected, allowing for hands-free image capture and storage for later transmission to social networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If users manually control the camera to take pictures, then the user has control over when images are captured, but the system cannot automatically capture moments based on biological triggers
Solution Approach 1:
The system enables self-service by allowing the camera to automatically detect and capture images based on biorhythm signals without requiring user intervention. The processor monitors biorhythm data and autonomously triggers the camera when predetermined conditions are met, making the system serve itself rather than requiring continuous user control.
Solution Approach 2:
The system performs preliminary action by pre-establishing biorhythm thresholds and capture conditions before use. Users can set up the system with predetermined biorhythm parameters, and once activated, the system automatically monitors and captures images when conditions are met, eliminating the need for real-time user decisions.
2Productivity
If the camera waits for user action or short delays, then the system remains simple to operate, but it cannot capture moments with minimal user intervention
Solution Approach 1:
The system achieves multi-functionality by integrating multiple capabilities into a single device: it simultaneously monitors biorhythm signals, processes image data, determines capture timing based on predetermined conditions, and controls the camera. This consolidation enables high productivity through automated image generation while managing complexity through functional integration.
Solution Approach 2:
The system replaces the mechanical user-action trigger with a biological signal-based trigger. Instead of requiring physical button presses or manual controls, the system uses biorhythm detection (heart rate, respiration, etc.) as the triggering mechanism, enabling automatic capture based on physiological states rather than mechanical user input.
3Ease of operation
If images are captured manually, then the user can control the timing, but automatic capture based on biorhythms enables hands-free operation
Solution Approach 1:
The system implements feedback by continuously monitoring biorhythm signals and using this real-time data to determine optimal capture timing. The processor receives biorhythm data, compares it against predetermined thresholds, and triggers capture when conditions are met, creating a closed-loop system that adapts to the user's physiological state for precise timing.
Solution Approach 2:
The system changes the parameter for triggering capture from manual user action to biological signal parameters. By monitoring changes in biorhythm parameters (heart rate, respiration rate, etc.) and using these parameter changes as the trigger condition, the system achieves hands-free operation while maintaining accurate capture timing based on physiological events.
Data Source
AI summary
According to one aspect of the present disclosure, an apparatus for taking pictures or videos triggered by pre-selected changes in a user's biorhythms includes a wearable camera for taking one or more picture and/or videos. The wearable camera is configured to be worn by the user. The apparatus also includes at least one processor configured to receive a biorhythm signal indicative of at least one detected biorhythm of a user. The processor is configured to compare the received biorhythm signal to a biorhythm threshold and, in response to the received biorhythm signal exceeding the biorhythm threshold, to simultaneously trigger the wearable camera to take one or more pictures or videos.