Webcam Pulse Detector
11–20 of 85 posts
Interesting. There was a Rock Health company that created an app using this technology. The app is called Cardiio.
I know the founders were from MIT/Harvard but can't recall if they were the same people who conducted this research.
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#12Re: Webcam Pulse Detector
#13Add some software to do expression analysis a la Paul Ekman [1] and one has a remote non-invasive "lie detector".
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#14This looks great for a music performance stunt -- the audience doesn't know but the DJ rigged up a webcam as a trigger!
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#15Awesome. Could open up a whole field of applications.
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#16I haven't been amazed for a while. Thank you.
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#17Great App for poker players
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#18Has anyone been able to get it to work? Whenever I try to open the stats display, I get:
OpenCV Error: Assertion failed (p.checkVector(2, CV_32S) >= 0) in polylines, file /tmp/buildd/opencv-2.3.1/modules/core/src/drawing.cpp, line 2064
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#19How precise is this, do we have data? I'm guessing it depends on the refresh rate of your webcam.
It's precise enough for the application. Webcams typically have a 15-30 fps framerate. Heartrates are typically 30-200 bpm (~= 0.5 to 3.3 bps).
The duration of the pulse is much shorter than the beat, though. Should still be visible at that framerate, just noting that pulses aren't sinewaves :)
Re: Webcam Pulse Detector
#20How precise is this, do we have data? I'm guessing it depends on the refresh rate of your webcam.
It's precise enough for the application. Webcams typically have a 15-30 fps framerate. Heartrates are typically 30-200 bpm (~= 0.5 to 3.3 bps).
It seems that the Nyquist-Shannon sampling rate would be too low for the results to be accurate.