I'm working on my graduation project, which involves measuring CO2 output from human respiration to determine whether someone is alive or not. I'm specifically looking for guidance on how to create the database necessary for an AI module that will help analyze this data.
5 Answers
Honestly, it seems like you might not need AI for this. If you can get a CO2 sample, you should already have the answer about whether the person is alive. If they're not breathing, you wouldn’t get a sample to analyze anyway.
I'm a bit puzzled about why you’d need a database or AI for this. It seems like you could manage this with a simple algorithm that records live CO2 sensor data. If you're connecting it to a mobile app, you could still use a straightforward method without needing complex AI.
I totally get that, but I need the database to monitor different breathing patterns—like if someone's breathing is shallow or labored. My project aims to detect life in situations where someone may be trapped under rubble after a collapse.
I hope people take a moment to read through this discussion and think critically about the value of degrees and what we apply them to.
If this is for a graduation project, it's essential that you tackle the problem yourself. Try breaking down the requirements and finding solutions step-by-step.
How will you gather baseline data for humans when they're not alive? It seems tricky to collect the data you need without that info.
I understand your concern, but my project focuses on detecting if a human is alive based on their CO2 emissions when breathing. If they aren't exhaling CO2, then it indicates they're not alive. The goal is to identify living people trapped under debris after an earthquake.
That's a fair point, but I need to prioritize cases with irregular breathing patterns. The AI could help to categorize those situations better.