DESMA 9 Event Blog 2- Emilie Wouters

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Event Blog 2

For this event blog, I attended the midterm showing. I found a few things to talk about. First of all, it was incredible to be there to listen to all the different ideas people had. Everyone is so creative. I noticed a few trends. First, quite a few of the projects had a larger impact, a problem they’re trying to help solve. Many of the products and ideas, if they existed, would contribute to society in some way. I also loved how people’s varying backgrounds helped them come up with different ideas. Some even brought in an extra piece of expertise from their fields.

Chart from Green's presentation

Someone named Joseph Green actually went ahead and made some AI music, which was quite impressive, and reminded me of the robot art authenticity debate. Yet another trend was that for many of the projects, I could either imagine it integrated into our society, or imagine it as a Black Mirror episode. I know I have mentioned that show before, but this class as a whole is already reminiscent of it, so it’s a little hard to separate the show from some of the things presented in this class.

EEG emotion brainwaves

Then something weird happened. Katharina Stahl presented a project that was pretty similar to mine in several ways, but differed greatly in application. I love this, and her project was awesome. We both did something involving an emotion reading device (an earpiece and a ring) that connects to an app. She went for the EEG method and I went for the physiological signs, though I had looked into the EEG method. She decided to use emotion detection to track and analyze a person’s emotions, for awareness and empathy development. I decided to make my emotion detector play specific songs to regulate emotions (music therapy), and track mood to possibly help diagnose mood or anxiety disorders. I love how we both were interested in emotion detection, yet had vastly different ideas as to how to apply it, and I love how her project turned out. It’s indicative of how our formative experiences combined with our creativity can produce vastly different results.


Katharina's project (top) and mine (bottom)- same base different ideas and outcomes. Taken from our slides.



References
***Pictures from my project taken by me so not much citation there

DeepBach chart  https://powerzeka.com/wp-content/uploads/2019/09/results-of-the-bach-or-computer-experiment.jpg Image.

Interesting Engineering. “DeepBach: The AI System Producing 21st-Century Classics.” Interesting Engineering, Interesting Engineering, 26 June 2020, interestingengineering.com/deepbach-a-deep-learning-algorithm-producing-21st-century-classics. 

Systems, AI Technology &. “Analyzing EEG Brainwave Data to Detect Emotions - on CAInvas.” Medium, AITS Journal, 31 Dec. 2020, medium.com/ai-techsystems/analyzing-eeg-brainwave-data-to-detect-emotions-on-cainvas-48833f3f0811. 

Smith, Duncan. “Detecting Emotions with EEG Patterns ☍ Mindlab.” Mindlab, themindlab.co.uk/blog/detecting-emotions-with-eeg-patterns/. 

EEG brainwaves https://www.researchgate.net/figure/Sample-recording-of-EEG-signals-corresponding-to-six-emotions-a-PD-patients-and-b_fig2_264426370 Image.

“American Music Therapy Association.” What Is Music Therapy | What Is Music Therapy? | American Music Therapy Association (AMTA), www.musictherapy.org/about/musictherapy/. 

“(PDF) Physiology of Emotion.” ResearchGate, www.researchgate.net/publication/322086815_Physiology_of_Emotion. 

Stahl, Katharina. “The Emotion Archives.” Midterm Presentation Event. Midterm Presentation Event, 2021. 

Green, Joseph. “A Recital of Artificial Intelligence, Franz Schubert, Robert Schuhmann, Johannes Brahms, and Hugo Wolf.” Midterm Presentation Event. Midterm Presentation Event, 2021. 


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