Should The Eq-Radio Be Used To Detect Emotion?

For my term project, I would like to build a program that has the capabilities to judge people’s moods based on their current facial expressions. My project would need user’s to have a webcam or an external camera. In addition, this project requires users to follow certain guidelines to ensure that the project works properly. Users must be in a well-lit area, do not cover their face, and are not wearing anything over their eyes, mouth, and face. Upon following these guidelines, my project will use the user’s eyes and mouth to determine their mood. The five moods that my program will be able to recognize are happy, sad, calm neutral, fear/stress, and angry/disgust.

This week, I decided to reflect solely on the reading entitled “Announcing the Mental Health Engagement Network (MHEN) Lawson, TELUS Health and Canada Health Infoway launch the Mental Health Engagement Network initiative to measure effectiveness of new technology in ongoing health management.” This is because mental health is something that is near and dear to my heart. Over my lifetime, I have seen a three people very close to me struggle with mental illness, which has not only been difficult on them, but also on myself. When reading about the use of cell phones to help improve mental health and wellness, I found it to be a fantastic idea as patient’s are able to track their daily progress, issues, and are in relatively constant contact with

In the article,” WIRELESS SENSORS CAN DETECT PEOPLE'S EMOTIONS” by Mary Beth Griggs, discusses how EQ Radio transfers a wireless signal that bounces off your body and back to the device. This measures things like your breathing, heart rate and pulse. As noted in the article, it states,” “Our work shows that wireless signals can capture information about human behavior that is not always visible to the naked eye,” Dina Katabi, the leader of the project said. “We believe that our results could pave the way for future technologies that could help monitor and diagnose conditions like depression and anxiety.” Nevertheless, these wireless signals may potentially help with other conditions in the near future.

The purpose of this paper is to operationally define sadness and suggest a method for measuring it. Operationalization is the process of specifying how a concept will be defined and how it can be measured. Two key purposes of operational definitions are to make intangible ideas concrete and to make clear how you are going to measure the idea you want to test. Operational definitions allow for concepts to be more tangible, countable, and observable. One can measure sadness by scoring the level of sadness they are feeling and/or by measuring facial electromyography (EMG).

Do you know that your brainwaves are highly affected by the different states you experience? These states include being happy, sad among others.

Pacemaker cells rhythmically produce electrical signals that will traverse through the heart and ultimately excite contractile cells. These electrical currents produced by pacemaker cells are large enough to be detected by recording electrodes on the skin, and thus an electrocardiogram (ECG) can be created. An ECG is made of three distinct components: the P-wave produced by atrial depolarization, the QRS complex produced by ventricular depolarization, and the T-wave produced by ventricular repolarization. Because the QRS complex has the largest amplitude and is easiest to detect, it was the ECG component chosen to be measured throughout the present experiment. Additionally, the rate at which QRS complexes are produced by the pacemaker cells in a given interval can be used to determine heart rate. Like the electrical activity of the brain, cardiac activity can vary in response to a multitude of different factors such as autonomic activity. In attempt to further explore the correlation between autonomic activity and emotion evoked by musical listening suggested by previous studies (Iwanaga et al., 2005; Orini et al., 2010), we measured heart rate and QRS complex amplitude as various music genres were being listened to. These experiments were conducted in order to better understand the physiological properties and mechanisms used by the human body to influence cardiac activity in response to various music genres being listened

Imagine the ability to block out negative emotions with targeted finger taps throughout the body’s region. It’s possible with Emotional Freedom Technique or EFT, one of several innovative therapies provided by Hypnotic Solutions in Cincinnati, OH. Not only is the acupressure program simple to learn it can also soothe physical ailments.

Fayard, J. V., Roberts, B. W., Robins, R. W., & Watson, D. (2012). Uncovering the Affective

Research has shown that all physical states have corresponding brainwave states. This means that anxiety, stress, emotional distress or any number of negative mental and physical states have certain brainwave patterns associated with them. The use of binaural beats can counteract these states by altering the brainwave frequencies of the sufferer.

The rationale of this project is to test and experiment on the idea that your voice spectrum is affected when you lie, to gain further knowledge on how to prevent and detect liars. As human beings, most of us lie more than we want to think we do. Lying is considered a wrong doing and given time to think most liars recognize it, but some of the first concerns among humans is self-preservation, self-esteem, and dodging consequences or dangerous situations. People lie verbally and nonverbally through body language, facial expressions, etc. A person’s voice can demonstrate aspects of their inner feelings which can help researchers in recognizing cues in someone’s voice towards their emotional state and in making robots that have abilities to allow it to become constructive in our society, doing tasks like detecting deception. Understanding the basic concept of lying, how, and why people do it can assist engineers, and scientists to better protect our nation from deceit and to expand onto the idea of voice analysis.

After completing the EFI assessment I will probably never hear these songs again. However, I found a lot about how these songs effect my feelings. Before listening to my music I was really calm sitting down on my bed. I tend to listen to music while I lay down or need some rest. For this assignment I did not listen to the music and graphed my feelings using the EFI feeling scale. I was surprised how high it was when I graphed my physical exhaustion. I believe it was high because I was really tired. After first completing my first EFI assessment I listen to my playlist. The graph was completely different this time. I was in a better and more relaxing mood before listening to the music. My tranquility went way up compared to before listening

EQ proves that emotion influences a person's behavior though he is brilliant and high IQ.

Physiological measures. One of the more readily referenced methods is the measuring of physiological measures, such as heart-rate, galvanic skin response, skin temperature, blood pressure, and muscle tension. Of these, the most commonly used measure in studies that focus on music and emotion interactions is heart-rate and galvanic skin response (Coutinho & Cangelosi, 2011). These measures appear to

We originally began our project by researching on how sound waves would affect people with manic - depressive disorder. It would be very similar to using sound waves to control depression except the hertz would most likely be different. We would also need to target a different area of the brain. People would

2a) My computational artifact represents the EQ Radio. Researchers from MIT's CSAIL have developed a device that can determine people's emotions by analyzing reflections in wireless signals. Using RF waves to measure heartbeat and breathing, researchers can figure out how you're feeling[1]. In my picture, the EQ Radio[4] can be seen bouncing wireless signals[5] off of the patient’s body[5] and using reflected signals to deduce their heart rate, breathing patterns, and other factors that are symptomatic of certain emotions[4]. Unlike other emotion detection systems, EQ-Radio doesn't rely on typical emotional cues, like facial expressions, which are not always reliable. Instead, it works like this: The EQ-Radio sends out a wireless signal that bounces off your body. The reflection measures not only your breathing, but also your heart rate.