Asia Pacific Emotion Detection & Recognition Market By Type (Feature Extraction and 3D Modeling, Bio-Sensors Technology, Pattern Recognition, Natural Language Processing, Machine Learning), Software Tool (Facial Expression Recognition, Bio-Sensing Software Tools and Apps, Speech and Voice Recognition), Application, End User
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The latest emotion detection and recognition systems have successfully incorporate touch and touchless technologies which are used to capture human emotional quotient with unique and tailor made solution suites to meet the needs of the end users environment. The suites are a combination of various technologies such as facial expression recognition, speech & voice recognition, and bio-sensing software tools and apps for real-time emotion sensing.
Among the various technologies, the Natural Language Processing (NLP) technology would be the dominant segment and would be the largest segment with maximum market share during the forecast period. The report highlights the adoption of Emotion Detection & Recognition market in Asia Pacific. Based on the Type, the Emotion Detection & Recognition Market is segmented into Feature Extraction and 3D Modeling, Bio-Sensors Technology, Pattern Recognition, Natural Language Processing, Machine Learning and Other segments.
Based on the Software Tool, the market is bifurcated into Facial Expression Recognition, Bio-Sensing Software Tools and Apps and Speech & Voice Recognition segments. According to the Application, the Emotion Detection and Recognition Market is segmented into Healthcare, Transport and Logistics, Law enforcement and Surveilance, Gaming and Other segments.
Based on the end users, the market is segmented into Enterprises, Defense and security agencies, Commercial, Industrial, Others (Personal users). The countries included in the report are China, Japan, India, South Korea, Singapore, Malaysia and Rest of Asia Pacific. Key players included in the report include Affectiva, Emotient, Noldus Information Technology, Sightcorp., Realeyes, Nviso, Kairos, Eyeris.