Why There Is No Research on Emotion Detection with Olfactory-System-Inspired Technique


I remember when I watched Mr. Sapolsky's lecture on the limbic system a month ago. It was so fascinating to know that the understanding of the limbic system was preceded by the understanding of olfactory bulb in rats. He then said that "....not an emotion on earth that's not intertwined with olfaction". Reading many papers and book in the area of affective computing made me overconfident that I might be the groundbreaker person that came out with the idea of automatic emotion detection that would take smell as a feature. This is because not a single research that I have read has taken into account the smells to predict emotions. Most of them talk about facial appearance changes that can imply emotions or about natural language, either they are written or spoken. However, lately, I realized that I might not the first one that invented this idea. I, in the other hand, started to think that maybe it is not that none has the same idea; maybe it is just because the tools the research will depend on has not been fully developed yet.

Recreating the "Selfies Still Sell" for the Year of 2019


At the end of this year, I recreate my just-for-fun research that I also did in the late last year. From my 108 Instagram posts (image only), my data showed me that the post with natural faces got more likes. In the other hand, the posts that contained merely about ideas (meaning not containing natural faces) got fewer likes (see the graphic below).

My First Theory on Feelings and Emotions LoL

Feelings are like climate or weather. Some feelings are like weathers: temporary, volatile, and contextual. I think we can call this kind of feelings as emotions. Meanwhile, some other feelings are like climate: more stable and happen almost everywhere the subjects are. I haven't had a name for this kind of feeling, but for one feeling in this category, maybe we can call it passion or desire.