Affective Computing: Enabling Technologies and Applications

Machines Emote through Human Mind Like Interfaces


Affective Computing refers to the latest futuristic advancements in which machines are trained to emote like the human mind, which includes recognizing patterns and making affective inferences about the surrounding environment. Innovation trends and applications are evolving in this space to make an effective contribution to growing segments such as artificial intelligence (AI), Internet of Things (IoT), social computing, voice recognition, speech and text analyses, and image recognition. The objective of this research service is to offer a detailed account of affective computing technology segments, technology innovations, and application innovations across sectors.

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Affective Computing refers to the latest futuristic advancements in which machines are trained to emote like the human mind, which includes recognizing patterns and making affective inferences about the surrounding environment. Innovation trends and applications are evolving in this space to make an effective contribution to growing segments such as artificial intelligence (AI), Internet of Things (IoT), social computing, voice recognition, speech and text analyses, and image recognition. The objective of this research service is to offer a detailed account of affective computing technology segments, technology innovations, and application innovations across sectors.
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Table of Contents

Executive SummaryResearch OutlineKey FindingsResearch MethodologyOverview of the TopicIntroduction to Affective Computing and its ApplicationsWhy is Affective Computing Important?Key Trends in Affective Computing SystemsAffective Computing Technology Parameters Transforming Key Application SectorsAffective Computing Technology Parameters Transforming Key Application Sectors (continued) Emotional Speech Empowers Machines to Understand Human EmotionsMuscle Movements Enable Soundless Emotional DetectionBody Gesture-Based Emotional Recognition Increases Efficiency of Emotional Intelligence SystemsPhysiology-Based Emotion Recognition Systems Improve AccuracyVisual Aesthetics Based Emotional Recognition Deep Learning Helps in Creation of Emotional MachinesImpact of Affective Computing Interfaces on Key SectorsEmotional Intelligence Impacts Healthcare Industry by Enabling Advanced Child CareEmotional Intelligence Enables Sentiment Analysis in Social MediaAffective Computing Enables User Friendly Banking ModelsAffective Computing Enables Voice Interfaces with Emotions for RetailAffective Computing Enables Intelligent Robots in Defense and Heavy Machinery IndustryAnalyst Insights—Convergence Scenarios and Futuristic ApplicationsConvergence of Affective Computing with Augmented Reality Enhances Contextual AugmentsConvergence of Affective Computing with Cloud Computing Helps to Reduce Platform DependencyConvergence of Affective Computing with Big Data Enhances Data AvailabilityConvergence of Affective Computing with IoT Enhances Customer Centric Product DevelopmentKey Futuristic ApplicationsKey ContactsKey ContactsKey Contacts (continued)Legal DisclaimerThe Frost & Sullivan StoryThe Frost & Sullivan StoryValue Proposition: Future of Your Company & CareerGlobal PerspectiveIndustry Convergence360º Research PerspectiveImplementation ExcellenceOur Blue Ocean Strategy




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