Affective Computing: Enabling Technologies and Applications
Affective Computing: Enabling Technologies and Applications
Machines Emote through Human Mind Like Interfaces
20-Sep-2015
Global
Technology Research
$4,950.00
Special Price $3,712.50 save 25 %
Description
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.
Table of Contents
Research Outline
Key Findings
Research Methodology
Introduction to Affective Computing and its Applications
Why is Affective Computing Important?
Affective Computing Technology Parameters Transforming Key Application Sectors
Affective Computing Technology Parameters Transforming Key Application Sectors (continued)
Emotional Speech Empowers Machines to Understand Human Emotions
Muscle Movements Enable Soundless Emotional Detection
Body Gesture-Based Emotional Recognition Increases Efficiency of Emotional Intelligence Systems
Physiology-Based Emotion Recognition Systems Improve Accuracy
Visual Aesthetics Based Emotional Recognition
Deep Learning Helps in Creation of Emotional Machines
Emotional Intelligence Impacts Healthcare Industry by Enabling Advanced Child Care
Emotional Intelligence Enables Sentiment Analysis in Social Media
Affective Computing Enables User Friendly Banking Models
Affective Computing Enables Voice Interfaces with Emotions for Retail
Affective Computing Enables Intelligent Robots in Defense and Heavy Machinery Industry
Convergence of Affective Computing with Augmented Reality Enhances Contextual Augments
Convergence of Affective Computing with Cloud Computing Helps to Reduce Platform Dependency
Convergence of Affective Computing with Big Data Enhances Data Availability
Convergence of Affective Computing with IoT Enhances Customer Centric Product Development
Key Futuristic Applications
Key Contacts
Key Contacts (continued)
Legal Disclaimer
The Frost & Sullivan Story
Value Proposition: Future of Your Company & Career
Global Perspective
Industry Convergence
360º Research Perspective
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Deliverable Type | Technology Research |
---|---|
No Index | No |
Podcast | No |
Author | Sathya Vendhan |
Industries | Aerospace, Defence and Security |
WIP Number | D694-01-00-00-00 |
Is Prebook | No |