Emotion recognition is mainly defined as a technique used in software programs that can help a program to understand what exactly human emotions are, by detecting them in a detailed manner. This is possible by using advanced image processing methods. There are several companies who are currently conducting numerous experiments for emotional recognition, especially by creating complex algorithms. In this way, the scientists mainly aim to understand more about a person’s facial expressions, moods, and micro-facial movements, and how to integrate these aspects with technology.
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Emotion recognition is a technology being used in software that offers a program with the access to read and understand emotions on a human face. This is done using advanced image processing technologies. Facial sensing and bio-sensing software are gaining immense popularity and are used in a large number of industry verticals. As a result, this market is expected to witness substantial growth in the coming years.
Advancement in technology is considered as a key factor encouraging the growth of the global emotion detection and recognition technology market. In addition, the increasing popularity of wearable technology is expected to offer promising opportunities for the prominent players operating in the global market. A substantial growth of the Internet of Things technology and a tremendous rise in the use of smartphone across the globe are anticipated to fuel the growth of the global market in the next few years.