Hey everyone! I will be starting a new project for a my Advanced Authentic Research class in school. I am going to be sharing updates as I continue working on this project.
How can an application that measures emitted brain waves give feedback based on a person’s behavior?
Background and Significance
Brain waves, or neural oscillations, were first observed by German psychiatrist Hans Berger in 1924. Brainwaves are vibrations emitted from the brain when neurons communicate with each other.
There are several types of brain waves, and each type of wave is used in different circumstances. When we are tired, slow, sleeping, or dreaming, we are emitting oscillations with low frequencies. When we are awake or alert, we emit oscillations with higher frequencies. According to Brainworks Neurotherapy, the different types of brain waves can be categorized according to their frequencies into four groups: delta (.5 to 3 Hz), theta (3 to 8 Hz), alpha (8 to 12 Hz), beta (12 to 38 Hz), and gamma waves (38 to 42 Hz).
According to Brainwave College, these waves are very important because they represent the activity that is occurring in the brain. But the waves don’t only represent brain activity, they can also determine the brain’s behavior. Brain stimulation can alter the patterns of brain waves thus changing the state of mind. An alarm clock is an example of brain stimulation because it is changing delta waves into beta waves (an asleep to awake state). Medications or recreational drugs are the most common methods to alter brain function.
Developed by Hans Berger, Electroencephalography (EEG) is a human-made method to track brain activity without affecting the subject. By placing several electrodes nodes on the scalp of a person, the EEG is able to detect voltage fluctuations of the person’s brain. According to WebMD, this is commonly used by medical professionals to monitor the depth of anesthesia and diagnose epilepsy, catatonia, and seizures. This method of detecting brain waves is extremely uninvasive unlike Electrocorticography, which requires electrodes to be placed on the surface of the brain instead of the scalp.
The device that I will be using to measure brain waves is the Emotiv EPOC. According to Emotive EPOC Product Specifications, the device is a scientific contextual wireless EEG system that has 14 EEG channels and 2 references. Using this device, I will be able to receive brain wave data from the Emotiv which can then be parsed through the server.
The first step of the research will be to establish a way to attain access to the raw stream data from the Emotiv EPOC headset. For this task, I will be using “EmoKit”, which is an open source driver created by the OpenYou Organization.
After the Emotiv data is synchronized on another device, the data can then be used to construct a graph for the front-end user to visualize. To construct graphs, I will use a third-party library (not decided yet). Another feature that this project will incorporate is to be able to analyze the data and trends, so that the application give feedback based on the data. The app will also have an appealing user interface and experience for the website and iOS app. Finally, this project will be published on a website, uploaded to the App Store, and open-sourced.
Humans subjects will be used in this project. With human trails, I can get the data of different individuals to test the application. I will be filling out the HASRC application form to ask for permission to use human subjects in my project.
“What Are Brainwaves?” Brainworks Neurotherapy, n.d. Web. 08 Dec. 2015.
“Why Are Brainwaves Important?” Brainwave College, n.d. Web. 08 Dec. 2015.
“Electroencephalogram (EEG) Test to Measure Brain Electrical Activity.” WebMD, n.d. Web. 08 Dec. 2015.
Brain Computer Interface & Scientific Contextual Eeg. Emotiv EPOC (n.d.): n. pag. Web.