Chair: Dr. Dakshina Ranjan Kisku, National Institute of Technology Durgapur, India
Special Session on Human-Machine Intelligent Interfaces (HMII) to be held in conjunction with IEEE TENCON 2016
With the advancement of computing technologies, human affects are becoming the key issues to study and development of affective computing interfaces which will demonstrate the robust algorithms and systems that can recognize, interpret, process and simulate the mental states and emotional affects of human beings. Investigating of socially and emotionally adept spontaneous technologies is becoming necessity in modern days for understanding of inference of various human actions including body postures, gestures, facial expressions, vocal nuances and other physiological signals as well as it will become an interesting study to bring humanistic actions in robotic devices, avatars, biometric systems and other intelligent interfaces. Human emotions are fundamental in influencing cognition, perception, learning, randomized actions, communication, knowledge representation, perceptual interpretations and decision-making. To understand and demonstrate the key areas of affective computing, this special session on Human-Machine Intelligent Interfaces aims to provide a vibrant forum for experienced and young researchers, academicians and industry people to discuss the problems, new proposals, exchange ideas and finding solutions for the existing as well as for new the problems of human affects computing and raw ideas on human – machine interactions.
Topics and Areas of Interest
Scopes and topics of interest include, but not limited to:
Psychological models of human affects
Intelligent interfaces – both software and hardware based
Cognitive reasoning
Computational models of intelligence
Human activity recognition
Mood detection
Emotion recognition
Human behaviour and physiological affects
Facial expressions, gesture and posture analysis in identity verification
Affective interfaces (games, learning, knowledge representation and interpretations, etc.)
Affective data representation and database indexing techniques
Human robot interactions
Social aspects of affective computing
Intelligent diagnostic interfaces
Emotions in machines and intelligent devices
Humanistic analysis of mental and psychological affects
Biometrics (face, fingerprint, palm, ear, gait, iris, signature, etc.)
Vocal affects inference
Robots for autism
Mind reading machines
Affects in virtual reality
Theoretical aspects of human emotions
Environmental effects on bodily manifestations