[HN Gopher] Personality trait recognition using ECG spectrograms...
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Personality trait recognition using ECG spectrograms and deep
learning
Author : PaulHoule
Score : 27 points
Date : 2024-02-15 17:49 UTC (5 hours ago)
(HTM) web link (arxiv.org)
(TXT) w3m dump (arxiv.org)
| carbocation wrote:
| Very nice. Now let's see the external validation.
| PaulHoule wrote:
| Would be nice to see. Doesn't look like a hard experiment. Even
| a 12-lead ECG is pretty easy to set up compared to an EEG, PET
| scanner, or something like that. There's a very direct line
| from the heart to the sympathetic and parasympathetic nervous
| systems so it's quite believable that at least some of the "Big
| 5" should manifest in HRV. The reliability of their test
| doesn't seem far off from conventional personality tests
|
| https://www.psychologytoday.com/us/blog/people-unexplained/2...
| equanimitivity wrote:
| >The ASCERTAIN dataset comprises a diverse range of physiological
| signals, including ECG recordings, collected from 58 participants
| exposed to video stimuli (36 videos) categorized in different
| categories based on valence and arousal levels. In particular,
| there are four subcategories of these 36 video clips. Clip 1 to 9
| is categorized into High Arousal and High Valance (HAHV), Clip 10
| to 18 Low Arousal and High Valance (LAHV), Clips 19 to 27 Low
| Arousal and Low Valance (LALV), and 28 to 36 High Arousal and Low
| Valance (HALV) clips [10]. ECG signals from the right and left
| arm were recorded at a sampling rate of 256Hz... our model
| outperformed the closest rival by a wide margin (0.56), achieving
| an accuracy of 0.94 for the extraversion trait. Similar trends
| are seen for agreeableness (0.92 versus 0.55), conscientiousness
| (0.92 versus 0.60), emotional stability (0.93 versus 0.53), and
| openness (0.93 versus 0.48).
|
| Predicts Big 5 based on heart beat response to various stimuli. I
| wonder if EKG's really contain more information beyond heart rate
| as the conduction within the heart is pretty consistent normally,
| regardless of rate. Neural nets seem to work great at finding any
| signal- too bad it isn't so clear what those signals are.
| PaulHoule wrote:
| I can't tell if they are using a 2-lead or 3-lead ECG.
| Personally I think it's pretty cool that a 12-lead EKG can see
| the electric field generated by your heart as a vector
|
| https://en.wikipedia.org/wiki/Electrocardiography
|
| I've had health care professionals wire me up for a 12-lead ECG
| (always normal so far) in less than a minute too.
| FrustratedMonky wrote:
| Know it's a loose analogy.
|
| But we really don't know how AI works, really, when we peer into
| the memory.
|
| And earlier today someone posted how to Visualize internals of
| Mistral 7B.
|
| And we don't really know how brain neural net works.
|
| And here is a study peering into it.
|
| And in both posts, the visual output is very similar.
|
| They are both neural nets really.
|
| https://news.ycombinator.com/item?id=39378773
| https://github.com/valine/NeuralFlow
| livinginfear wrote:
| Can anyone predict a potential benefit to society that might come
| from this research? I can only think of bad things coming from
| this. It's like a major step down the staircase towards dystopia.
|
| Everyone was up in arms the other day about a developer who had
| to take a personality test for a job at FedEx. Imagine what
| _this_ leads to.
| boredemployee wrote:
| I can't wait for this technology to be used by HR. /s
| andy99 wrote:
| Phrenology with a few modern buzzwords thrown in.
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