Most of us know the impact of having Artificial Intelligence. The effectiveness, competence of AI in this modern era- all are beneficial assets of technology. Besides, there is also a term including AI is- emotional AI. Also, emotional AI focuses on the effective use of computing and AI techniques to interact with the emotion-driven life of a human.
Emotional-AI and Startups
This advanced part of AI can perceive and react to human emotions through text, voice, biometric sensing, etc., about a human-context. By understanding and examining personalized emotions, you can predict human behavior through emotional AI. There has been growing a large working field of emotional-AI. AI startups have built the technology, where the focused part is to identify facial emotions and micro-expressions of humans. The research topic is to evaluate what provokes human for the outcomes of these emotions. Consequently, the companies have sorted out the benefits which they will require.
In business analytics, the capabilities to trace the emotional artificial intelligence are the new trends of a company. So, let’s have a look at some of the emotional-AI-powered companies that have manipulated a global disruption across the globe.
Emotibot
With the motto for helping people to have a better life, a better solution to the business problem, Emotibot started their business in 2015, empowered with AI emotions. Also, focusing on achieving higher business values, Mr. Kenny Chien, the founder & CEO of this AI emotions-based organization, has brought the unlimited potential of AI.
Besides, they are building emotional-AI systems based on deep learning methods likely, efficient computing, and cutting-edge technologies to make daily life easy and help to achieve professional goals. They believe that smooth verbal conversation, proper understanding, bidirectional conversation engine, advanced image-processing, etc., are the future of human-bot interaction. Their core technology includes an emotional chatbot, computer vision, voice emotion, multimodal emotion recognition indeed.
Affectiva
This AI-emotions-based organization is working on recognizing human emotions based on facial or physiological responses. Affective is a development-based initiative; initiated at MIT media lab. Also, they help the brands, profitable companies to improve their marketing messages, promotional targets through this emotion-based recognition technology.
It enables software to use a web camera for tracking a user’s furrows, smile, etc., to perceive the levels of surprise, confusions, etc. They use computer vision, deep learning, speech analytics along with a lot of information to analyze human states in context. Also, they provide automotive AI service that focuses on redefining the occupant experience and improving road safety. Almost 53000 ads have been tested on their platform, and over 10 million consumers responded.
Vocalis Health
Israel-based company- Vocalis Health, founded in 2012, are focusing on human’s health condition. They use voice and artificial intelligence technology to extract human emotions. This AI-health tech company also analyses human voices to find unique and prime vocal biomarkers for detecting diseases. Already, they introduced a voice-powered AI platform that can build proprietary vocal biomarkers for individual health screening and having remote monitoring systems.
Element Human
Founded in 2013, Element Human focuses on human behaviors with digital experiences through emotional-AI-based. This human-behavior-based research helps the company to recognize human emotion for delivering a better life for users. The API of Element Human users can apply to digital experiences, security as well as healthcare solutions.
NVISO
NVISO is a startup from Switzerland, founded in 2009. Based on detecting and predicting human emotions, behaviors, they are providing emotional-AI-based business solutions. Their range of services includes the automotive sector, healthcare, finance, and general consumer. Their belief lies in the vision of sensing, comprehending, and acting through emotion analytics indeed.
Conclusion
Emotional Artificial Intelligence has become quite a popular and influential element among the top brands, companies globally. The unique features that help in research and human development cases are such as vocal cues, facial expression, etc. These inputs bring visionary changes in various fields, such as customer service, healthcare, financial interactions, etc. Though several challenges it has got on the board, these emotion-driven datasets, and technology system is going to emerge and available widely soon.
