Electro-photonic measurements during a concert [part 3]
In the previous chapter, with the Sputnik sensor from Bio-Well we have studied the emotional level of the audience for each title sung by Emilie Simon.
We have next compared the maximum and minimum activity for each title. Which was able to give us the emotional amplitude delivered by each of the pieces.
In this last chapter, we will go deeper inside each musical piece, to analyze the emotional variations of the audience during the concert.
All living things emit photons. THE research in electro-photonics showed a correlation between a person's activity level and the photons they emit.
Interpretation of the secret title
It's the first track of the concert, it's also the second track with the greatest emotional amplitude of the concert. The emotional lift was significant with “Secret”. There is therefore a strong difference between the highest and lowest activity levels.
- The concert begins with a sound rise which raises the tension (section A)
- The arrival of Émilie lowers the tension, we hear applause (section B)
- The title “Secret” begins, the audience recognizes the rhythm of the title, the climb is very rapid (section C).
- From the beginning of the melody then during the first chorus, we see a new rise
(section D). - In part E we see a relaxation, or the level of activity which drops to the value at the start of section C. The rise and fall curve is almost symmetrical. A new progressive rise follows, ending at a level close to the maximum of the piece.
Taking a step back, we see that the slopes of the title “Secret” form an N. Above the curve in pink. We will develop this observation in the next chapter.
In the video below, I matched the graph above with the recorded audio. The red hand indicates the present moment, the graph scrolls slowly to the left. We clearly see the variations in activity described in parts A to E.
A macroscopic view of the titles
By observing the general slopes of the other titles of the concert, we see taking shape repeating profiles. We can then classify them by assigning them the following types according to the design of their slopes: / ANMVW
In this way, a emotional signature to a piece of music. Here are the identified types:
N-types
The 6 titles draw Ns of very different profiles which seem to go up or down. This is a profile that appears mainly here. It is noted N+ when the activity level is higher at the end of the title and N- when it is lower.
Type V
By observing the beginnings and ends of the 2 V titles (light blue), the ending level is lower than the starting level. A bit as if the downhill part does not allow you to go back up to the same level.
Types /
There is 1 title identified as such, “Graine d’étoile” is clearly in this trend.
M types
There is only 1 title in M, it is “Flower”.
W types
There are only 2 of them, they finish at the same level where they started, as is the case for type M. They come to explore a lower activity, making a counterpoint with the titles before and after.
Type A
This profile is well marked for “Karma” much less so for “Swimming”.
Research insights
Once we have an emotional signature for each title, the following question arises: to what extent will the profile vary when the song is performed in front of another audience? Will it be the same typical profile? Or will it completely change? To find out, new concert measures by Emilie Simon would be necessary.
The place of measurement is singular here, we have outside, sea, sunset which are parameters that influence the measurements. The impact will be seen on the absolute values, with slow variations (for the sunset). However, variations in the emotional responses of the public are measured every second, so we can consider that these relative measurements are independent of the measurement location.
We capture the photons emitted by the audience, we then consider that we have an average of the emotional response of the audience. However, the photons of a person close to the sensor will be captured more than those of a person 10 meters away. We actually have more measurement of part of the public, rather than an average of all people attending the concert. It would then be relevant to take measurements with several sensors distributed among the public, to know an overall average value.
Originality of the study
Interpretation of measurements in the first part of the study, were based on the interpretations that have already been made by many environmental research. Indeed, researchers have noted that increasing variations in the Zone parameter are recognized as indicatinghyperactivity and descending like hypo-activity. This was observed during sunsets, meetings, in churches or during concerts. For reference, here is the presentation video measurements during the Masaru Emoto ceremony by Dmitry Orlov, European Director of Bio-Well.
The evaluation in the second part of the study, classifying the titles according to their maximums and their deviations is a method applied in an original way here to classify music titles by
emotional impact.
The interpretation of this last part between the surface deviation curve and the recorded sound is a innovative study. To my knowledge, no interpretation has ever been made in this way. In fact, Bio-Well environmental measurements are usually made every 5 seconds. For my part, I took measurements every second, with a new version of the more sensitive and precise measuring equipment released in 2023.
All of this classifications by emotional signatures come from this single concert, they are the fruit of a macroscopic observation of surface deviation curves. To my knowledge, there are no such classifications on pieces of music with this type of device.
Thanks
I warmly thank Emily Simon and his team for listening and for agreeing to take part in the experiment. A big thank you to Melanie Lhote for providing me with the photos she took during the concert in Sète. Thanks also to the team Bio-well for their help and support, as well as to the Bio-well community.
