Affective Computing

System that automatically recognizes human emotion.

GRANT/FUNDER
Affective Media Ltd, UK
TEAM
Christian Jones, Matthew Willis
PARTNERS

STATUS
Current
URL

OUTCOMES
Acoustic emotion recognition systems have been developed to recognise human emotion from speech and respond intelligently. In addition, biometric sensors are used to detect physiological measures of emotion and develop classification algorithms to automatically recognise emotion.
MEDIA
Emotishare: Emotion Sharing on Mobile Devices
Emotishare: Supporting Emotion Communication Through Ubiquitous Technologies
Supporting Emotion Communication in Information Systems
An Emotion Network: Enabling Emotion Sharing Through Social Networking
Acoustic Emotion Recognition for Affective Computer Gaming
Affective Human-Robotic Interaction
Speech Interaction with an Emotional Robotic Dog
Using Paralinguistic Cues in Speech to Recognise Emotions in Older Car Drivers
Biometric Valence and Arousal Recognition
Investigating Emotional Interaction with a Robotic Dog
Performance Analysis Of Acoustic Emotion Recognition For In-Car Conversational Interfaces
Performance Analysis Of Acoustic Emotion Recognition For In-Car Conversational
Interfaces 2