Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Real-time Embedded System for Speech Emotion Recognition
Details
This book is a small endeavor towards creating the possibility for the machines to understand human behavior and emotions. While significant work is being done in order to develop empathetic agents which can identify emotions of the user through eye gaze and facial expressions, a neglected area, especially in the pedagogical context, is the use of voice for detection of alertness, fatigue and emotions. However, such a system has advantages - the ability to work where visual monitoring is expensive, in darkness or where mobile devices cannot provide adequate visual feedback. This book proposes a model for a system capable of identifying emotions as well as alertness and fatigue based entirely on voice interaction. Furthermore, it proposes the development of an engine which can intelligently improve its prediction of emotions and cognitive states based on earlier interaction, and suggest appropriate measures to improve emotions, reduce distractions and mitigate fatigue.
Autorentext
Amiya Kumar Samantaray, the CEO & Founder of Phoenix Robotix, has been working in the field of Internet of things bringing together people, process and data through the proliferation of networked communication and intelligent embedded devices with an objective of creating a smarter world.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659718724
- Genre Maths
- Anzahl Seiten 64
- Herausgeber LAP LAMBERT Academic Publishing
- Größe H220mm x B150mm x T4mm
- Jahr 2015
- EAN 9783659718724
- Format Kartonierter Einband
- ISBN 3659718726
- Veröffentlichung 08.06.2015
- Titel Real-time Embedded System for Speech Emotion Recognition
- Autor Amiya Kumar Samantaray
- Gewicht 113g
- Sprache Englisch