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Last June, when this first came up, I commented: I was thinking about the implications of using this technique to analyze e.g. political speeches and try to ca

Last June, when this first came up, I commented: I was thinking about the implications of using this technique to analyze e.g. political speeches and try to catch people lying on the act. Your application (winning on card games) seems very interesting too Now, with the Google glass getting closer to being a real thing in the market, the possibilities are endless (for the good and for the bad). Unfortunately, my mind is kind of twisted and I think about the bad first. Must be a side effect of all the security issues I'm researching. For instance: # Google glass + Eulerian magnification + facial expression recognition = Instant "Lie to Me"-like[1] microexpressions expert. # Google glass + Eulerian magnification + TSA agent: "picking" suspects by the way their pulse react as they get closer to the agent using the "apparatus". Of course, the real criminals would just take some kind of drug to avoid being detected... http://en.wikipedia.org/wiki/Lie_to_Me http://en.wikipedia.org/wiki/Lie_to_Me

Someone 14y ago
Or have a camera with software like this and a low-intensity video projector aimed at their face. The projector would beam the anti-phase of the signal that the camera detects. Better yet: project a signal on the guy next to you in line that makes him a prime 'I am a terrorist' suspect. Another bad: when walking on the street, if your heart rate goes up when seeing a mean looking individual approach you, that individual could pick you out for a 'give me your wallet' treatment. I think that would decrease the risk of getting caught for the criminal.
- bostonpete 14y ago
  > could pick you out for a 'give me your wallet' treatment Well, this is small-time stuff and I think it's unlikely that such thieves would start employing technology like this. The payoff for this type of robbery is just too small to draw in a lot of innovation. Plus, I'm not sure heart rate is such a useful data point in deciding who to rob. My heart rate could go up because I'm scared, or because I'm amping myself up for a fight, or because I'm getting ready to draw my weapon in self-defense...
  - TheCapn 14y ago
    If we're going to talk about using to detect emotional reaction in individuals on the street you could walk by a pretty lady (or gent depending on who's reading this) and determine if they show any signs of arousal/disgust when they see you. The science of human emotion when paired with this technology would be particularly interesting on its own.
  - Someone 14y ago
    "The payoff for this type of robbery is just too small to draw in a lot of innovation" Sure, nobody would do a startup with this market in mind, but if it is cheaply and reliably available, I bet people would start using it, just as people started using bolt cutters to steal bicycles. Also, if one had reliable tools to filter for low risk victims, it would statistically become more profitable to rob people. If you can expect to take an average $10 from ten people before being caught, fewer people would take the chance than when it is $10 from about 100 people (humans do not always make judgments that seem rational. For an example, see http://www.scientificamerican.com/article.cfm?id=stats-show-crime-doesnt-pay-most-robbers http://www.scientificamerican.com/article.cfm?id=stats-show-...)
hereonbusiness 14y ago
I don't really see how you could effectively use this technology on subjects that are not stationary and under controlled light conditions.
- gojomo 14y ago
  Yet more cheap computation can adjust for whatever motion/lighting variances are present.
  - hereonbusiness 14y ago
    I think you are missing the point. It makes no sense to compute away motion if motion is what you are trying to capture. This algorithm is intended to capture and amplify minute movements without physical contact by measuring the color of individual pixels over time. All the processing power in the world won't help you much if there are no small movements to measure in the first place.
- ank286 14y ago
  I agree with you, the results (not theory) are similar to Horprasert's background subtraction paper. Both techniques have same limitations. It is pixel-by-pixel and does not take the entire scene into account.
path411 14y ago
Wouldn't it be incredibly difficult for a human mounted camera to do this? Any shift in the camera itself would throw off the results.

Someone 14y ago

Or have a camera with software like this and a low-intensity video projector aimed at their face. The projector would beam the anti-phase of the signal that the camera detects. Better yet: project a signal on the guy next to you in line that makes him a prime 'I am a terrorist' suspect. Another bad: when walking on the street, if your heart rate goes up when seeing a mean looking individual approach you, that individual could pick you out for a 'give me your wallet' treatment. I think that would decrease the risk of getting caught for the criminal.

bostonpete 14y ago
> could pick you out for a 'give me your wallet' treatment Well, this is small-time stuff and I think it's unlikely that such thieves would start employing technology like this. The payoff for this type of robbery is just too small to draw in a lot of innovation. Plus, I'm not sure heart rate is such a useful data point in deciding who to rob. My heart rate could go up because I'm scared, or because I'm amping myself up for a fight, or because I'm getting ready to draw my weapon in self-defense...
- TheCapn 14y ago
  If we're going to talk about using to detect emotional reaction in individuals on the street you could walk by a pretty lady (or gent depending on who's reading this) and determine if they show any signs of arousal/disgust when they see you. The science of human emotion when paired with this technology would be particularly interesting on its own.
- Someone 14y ago
  "The payoff for this type of robbery is just too small to draw in a lot of innovation" Sure, nobody would do a startup with this market in mind, but if it is cheaply and reliably available, I bet people would start using it, just as people started using bolt cutters to steal bicycles. Also, if one had reliable tools to filter for low risk victims, it would statistically become more profitable to rob people. If you can expect to take an average $10 from ten people before being caught, fewer people would take the chance than when it is $10 from about 100 people (humans do not always make judgments that seem rational. For an example, see http://www.scientificamerican.com/article.cfm?id=stats-show-crime-doesnt-pay-most-robbers http://www.scientificamerican.com/article.cfm?id=stats-show-...)

hereonbusiness 14y ago

I don't really see how you could effectively use this technology on subjects that are not stationary and under controlled light conditions.

gojomo 14y ago
Yet more cheap computation can adjust for whatever motion/lighting variances are present.
- hereonbusiness 14y ago
  I think you are missing the point. It makes no sense to compute away motion if motion is what you are trying to capture. This algorithm is intended to capture and amplify minute movements without physical contact by measuring the color of individual pixels over time. All the processing power in the world won't help you much if there are no small movements to measure in the first place.
ank286 14y ago
I agree with you, the results (not theory) are similar to Horprasert's background subtraction paper. Both techniques have same limitations. It is pixel-by-pixel and does not take the entire scene into account.

path411 14y ago

Wouldn't it be incredibly difficult for a human mounted camera to do this? Any shift in the camera itself would throw off the results.