- #1
ChiralWaltz
- 161
- 5
I have been away on a bit of hiatus to explore the world of electrical engineering. I got mixed up with the signal processing crowd. Before I knew it, I was a research assistant in a Brain Computer Interfacing Lab. We use brainwave (EEG) signals to operate devices.
This conversation may be boarder line on the edge of homework help. It relates to a senior design project we are working on. I feel that the topic is interesting and non-technical enough to warrant a general discussion. I am trying to get some multidisciplinary feedback and ideas. Thought this would be the best place to do it.
Our current research focuses on detecting emotion based on music a person is listening to. We are using supervised machine learning to extract features from the EEG signal. Based on the features of the signal, we are able to predict the emotions the user is experiencing.
Assuming we can create a system that is able to detect emotion reliably, we are looking for ways to apply it. So far, I have spoken with our psychology department. The idea that came we came up with is monitoring fluctuations of emotions. If emotions start to oscillate quickly (bad), it notifies the user via text to take an action. This action could vary depending on the issue the user is dealing with (PTSD, depression, etc.). I think the marketing department would really enjoying having access to the customers' emotions also, all ethics aside.
If you were able to tell what someone was feeling, what would you do with this information? Do you think there could be any issues that would arise from this type of technology? What type of applications could you envision with emotion detection?
Chiral
This conversation may be boarder line on the edge of homework help. It relates to a senior design project we are working on. I feel that the topic is interesting and non-technical enough to warrant a general discussion. I am trying to get some multidisciplinary feedback and ideas. Thought this would be the best place to do it.
Our current research focuses on detecting emotion based on music a person is listening to. We are using supervised machine learning to extract features from the EEG signal. Based on the features of the signal, we are able to predict the emotions the user is experiencing.
Assuming we can create a system that is able to detect emotion reliably, we are looking for ways to apply it. So far, I have spoken with our psychology department. The idea that came we came up with is monitoring fluctuations of emotions. If emotions start to oscillate quickly (bad), it notifies the user via text to take an action. This action could vary depending on the issue the user is dealing with (PTSD, depression, etc.). I think the marketing department would really enjoying having access to the customers' emotions also, all ethics aside.
If you were able to tell what someone was feeling, what would you do with this information? Do you think there could be any issues that would arise from this type of technology? What type of applications could you envision with emotion detection?
Chiral