The interest of emotional interaction between robots and humans is recently increasing in human-robot interaction as with expansion of research on human-friendly robot. The facial expression is the most instinctive and impromptu way to express emotion compared with other emotional methods like a voice, gesture, skin color, etc. People can recognize a robot’s condition intuitively if the robot s...

There is an ongoing project to develop an interaction framework for creating animatronics creatures – therapeutic animatrons – which can elicit desired emotional states in humans. The acute need for such therapeutic devices stems from the growing aging population and increasing work and social stress. A real-time facial expression detection and gesture recognition system will assess the emotion...

Understanding the human performance factors that mediate successful person identification can be helpful in the development of automatic face recognition algorithms. Face familiarity and facial motion are two factors that seem especially useful when subjects make recognition decisions from challenging viewing formats. We tested the effects of these two factors on person recognition from natural...

The use of video sequences for face recognition has been relatively less studied compared to image-based approaches. In this paper, we present an analysis-by-synthesis framework for face recognition from video sequences that is robust to large changes in facial pose and lighting conditions. This requires tracking the video sequence, as well as recognition algorithms that are able to integrate i...

Abstract. The conventional method of mechanism control which requires physical contact is being replaced with remote control, especially the advent Internet things (IoT). Facial recognition used to identify and authenticate faces from images or videos. It has many applications, including granting restricting access a facility, secured areas, preventing unauthorized users, selective access. accu...

We present an overview of research at UEA into the animation of sign language using a gesture notation, outlining applications that have been developed and key aspects of the implementation. We argue that the requirements for virtual human signing involve the development of expressive characters. Although the principal focus of work has been on sign language, we believe that the work can be gen...

Emotion recognition is an important part of Human-Computer Interaction (HCI). It has various applications in industrial and commercial sectors. In the context of emotion classification, HCI has been divided into three major modalities: vocal-, facial-, and gesture-based recognition. This title focuses solely on audio based input. Humans use intrinsic skills to infer characteristics denoting the...

Auditory information is the major factor in the human communication but in practical conversations, visual information such as gesture, facial expression, and head movement clearly makes it much smoother and more natural. Most researches related to analysis of spoken dialogue are based on only auditory information. We are trying to clarify how human utilize the knowledge of spoken dialogue mana...

Sarcasm detection in written texts is the Achilles’ heel of research areas sentiment analysis, especially with absence rightful verbal tone, facial expression or body gesture that leads to random misinterpretations. It crucial sectors social media, advertisements and user feedbacks on services require proper interpretation for service evaluation improvisation their products. The objective here ...