Emotion recognition technology can be useful for autistic children, social media, robotics, advertising, automobiles, and more. It’s a fairly new technological concept that is being researched in numerous companies and universities around the world. Read on to learn more about emotion detection technology.
How Does Emotion Detection Work?
Most emotion recognition application programming interfaces (API) utilize a unique mixture of psychology and technology to figure out the user’s emotions. These APIs use algorithms that can detect micro-expressions from data compiled by academic sources based off the relationship points on a person’s face. In addition, sonic algorithms have been created to detect emotion utilizing facial expressions, tone, and word content.
This sort of technology requires a tremendous amount of effort and data. The machinery using this cutting edge technology is often untried and untested. Which is why it is essential for the companies and universities that create this technology to take full advantage of electronic test equipment and memory test application in order to ensure that their pieces of technology are working smoothly. It is important to note that academic institutions or companies with tighter budget restrictions should probably obtain electronic test equipment rentals for their research as to not waste money on the incredibly expensive equipment necessary to create such an intricate piece of technology.
Most application programming interfaces (API) use facial recognition as a means to detect a person’s emotional state. These APIs are able to detect emotion from photos, videos, text, and speech. In addition, sentiment analysis software can analyze text and detect through positive and negative word association what kind of emotion a person is attempting to portray.
Of course, these APIs run off huge curated databases from academic sources that will require a memory test application to ensure that they are running smoothly. As these emotion discerning API’s develop, there is a growing possibility of them affecting industries such as advertising, healthcare, and education.
Basic Emotion Detection
These APIs are usually able to detect seven basic types of emotion: joy, sadness, anger, fear, surprise, contempt, and disgust. It is projected that the market for emotion detection APIs will grow to 6.19 billion in 2020. This growing market will require more and more electronic testing equipment in order to ensure their software is working correctly. This will definitely cause a leap in in the market for electronic test equipment rentals as more startups and universities delve into creating emotion recognition software.
While the current API market is dominated by massive names in technology, as this market grows, expect even more companies to join the emotion recognition API train. From spotting struggling students in classrooms to creating new virtual reality experiences, emotion detection APIs are the future of modern technology.
The cutting edge development within emotion recognition technology is the possibility of using wireless methods to detect a human emotion. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created a device that can detect a human’s emotion using wireless signals. The device is called EQ radio and holds an 87% accuracy for emotion detection.
The EQ Radio
The EQ radio works by measuring changes in breathing and heart signals without on-body sensors to detect whether a person is excited, happy, angry, or sad. This device can measure a person’s heart rate as well as an ECG machine and has an error of margin of about 0.3%.
Essentially the EQ radio sends wireless signals that bounce off a person’s body and returns to the device. Then the device uses beat-extraction algorithms to break the reflections into individual heartbeats and analyzes the subtle changes in heartbeat intervals and arousal to detect what kind of emotion the person is feeling.
The uses of this machine seem endless, from utilizing it as an easy way to review a service or to detect whether or not a senior has fallen within their home. It can also be a crucial development to heart disease detection and other disease diagnosis.
Testing Emotion Detectors
These API devices hold such a vast amount of data that they require a memory test application to ensure that they are able to store all the nuances of emotions within the vast spectrum of human sentiment. A reliable memory tester is crucial to maintenance and development of emotion detectors, as R&D teams can keep their devices functioning at optimal levels with the aid of such devices.
Since the future of advertising, education, healthcare, entertainment, and so many other industries seems to be emotion detection, keep your machines operational with reliable testing equipment.