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Emotions play a vital role in how we think and behave. Emotions have a significant influence on the decisions we make. As social communication is an indispensable part of our life, emotional expressions help us to understand the state of mind and nature of people around us, which allows us to communicate efficiently. It is a fact that researches in emotion detection and recognition have been gaining traction owing to the applications in perceptual and cognitive sciences as well as affective computing and computer animation.
In recent years, emotion detection and recognition have gained importance due to the rapid developments in AI and Machine learning. Emotion detection and recognition is software-based technology, equipped with computer vision and deep learning algorithms’, which enables the organization to recognize the facial emotions of humans. Other than expressions like happiness, anger, sadness emotion detection and recognition software would also examine the micro-expressions like disgust or contempt.
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Development of machines with emotion detection and recognition has been a long-standing goal of Artificial Intelligence. Many developers are working on developing intelligent emotion detection and recognition systems using open-source computer vision and machine learning software library. The rapid developments in artificial intelligence techniques including, virtual reality, augmented reality, and human-computer interaction is expected to drive the Emotion Detection and Recognition Market in the coming years.
Advanced Technologies such as Natural Language Processing(NLP), Affective Computing, Computational Linguistics, and Machine Learning have boosted the developments and researches in the field of emotion detection and recognition. Emotion detection is an application of NLP. Many approaches that are being explored to develop Emotion detection and recognition including knowledge-based techniques, statistical methods, and other hybrid procedures.
Today, emotional detection and recognition have been widely deployed in Smart cars. Using emotion detection in cars would help to alert the drivers when he is feeling drowsy. Emotion detection and recognition would also help in Interviews, to examine the candidates’ facial expressions and evaluate his personality traits. Emotion detection and recognition have also been adapted in Market Research fields. Companies could understand their clients more clearly as emotion detection and recognition would provide unbiased data which would help the companies to get in-depth understanding about how the customers feel about their products and services.
Apart, from this emotion detection and recognition is used in many industry verticals. For instance, Aella Credit, financial services provider in South Africa uses Amazon Rekognition’s ability to detect and compare human faces. This helps the company to carry out the identity verification of the customers without human intervention.
Growing adoption and innovations in wearable devices are anticipated to drive emotion detection and recognition market growth. Companies have been working on developing a voice-activated wearable device (fit bit) which would recognize human emotions.
Voice software analyses the vocal pattern and decodes the person’s emotions. Based on the emotion, the person could get different recommendations which suit their emotion. For example, if the person is angry the device would ask him to calm down. Wearable devices could collect real-time emotion data which would help in monitoring the health and other parameters of the individual.
Key Players in emotion detection and recognition market include Affectiva, Emotient, Eyeris, Kairos Inc., Noldus Information Technology, Realeyes, Sentiance, Sightcorp, SkyBiometry, NVISO, Q3 technologies, Inc., and Paravision Inc.
· Software tools
- Facial Expression Recognition
- Bio-Sensing Software Tools and Apps
- Speech and Voice Recognition
- Storage and Maintenance
- Consulting and Integration
· Pattern Recognition Network
· Machine Learning
· Natural Language Processing
· Bio-Sensors Technology
· Feature Extraction and 3D Modelling
· Law Enforcement, Surveillance and Monitoring
· Marketing & Advertising
· Media & Entertainment
· Defence and Security Agency
· North America (U.S. and Canada)
· Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)
· Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)
· Middle East & Africa (South Africa, GCC and Rest of the Middle East & Africa)
· Latin America (Brazil, Mexico and Rest of Latin America)
North America is anticipated to hold the highest share in terms of revenue generation in the global emotion detection and recognition market. Rapid evolution in the Internet of things (IoT), increasing trend of wearable devices, along with the advanced technology, provides tremendous opportunities for the emotion detection and recognition market in North America. The U.S. and Canada are expected to hold a significant share in the market. High investments of government and increasing demand for enhanced services and security from several industry verticals would augment the market growth in the region.
In the Asia- Pacific, developing economies such as India and China are expected to witness a growing demand for enhanced technology deployments and efforts to develop standardized and effective emotion detection and recognition technologies. This would drive the emotion detection and recognition market in the region. Furthermore, the growing population, advanced technological hubs, and the presence of wealthy countries such as South Korea and Japan would fuel the market growth in the Asia Pacific.
Europe is forecasted to have a significant growth in the emotion detection and recognition market due to the substantial investments of government is security and surveillance Infrastructure, raising public awareness, and adoption of advanced technologies and other essential factors would contribute in expanding the emotion detection and recognition market in the region.
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