Correlation Method Based PCA Subspace using Accelerated Binary Particle Swarm Optimization for Enhanced Face Recognition

The capacity to perceive human countenances is an exhibit of unfathomable human insight. Clinicians inferred that comprehensive and highlight based methodologies are double courses to the face acknowledgment [1]. Most early methodologies in face acknowledgment extricate nearby highlights from face pictures. Be that as it may, the kind of nearby highlights which are most steady and discriminative for face acknowledgment is obscure. Because of challenges in heartily separating nearby highlights from face pictures, analysts started to utilize the entire face area as the crude info to an acknowledgment framework, and created all-encompassing coordinating strategies. There are a large number of productions in face acknowledgment utilizing all-encompassing methodologies. Furthermore, for the most part this kind of methodologies can attain to preferred execution over highlight based methodologies [2], [3]. Notwithstanding, the execution of comprehensive coordinating techniques will drop when there are varieties because of outflows or postures. Also, neighbourhood highlights extricated from nearby districts of a face picture are stronger to these varieties than the worldwide highlights. This inspires us to re-ponder the highlight based methodologies

Estimating Adaptacion of Dialogue Partners with Different Verbal Intelligence

This work investigates to what degree speakers with different verbal intelligence may adapt to each other. The work is based on a corpus consisting of 100 descriptions of a short film (monologues), 56 discussions about the same topic (dialogues), and verbal intelligence scores of the test participants. Adaptation between two dialogue partners was measured using cross-referencing, proportion of "I", "You" and "We" words, between-subject correlation and similarity of texts. It was shown that lower verbal intelligence speakers repeated more nouns and adjectives from the other and used the same linguistic categories more often than higher verbal intelligence speakers. In dialogues between strangers, participants with higher verbal intelligence showed a greater level of adaptation

Cognitive behavioural systems

This book constitutes refereed proceedings of the COST 2102 International Training School on Cognitive Behavioural Systems held in Dresden, Germany, in February 2011. The 39 revised full papers presented were carefully reviewed and selected from various submissions. The volume presents new and original research results in the field of human-machine interaction inspired by cognitive behavioural human-human interaction features. The themes covered are on cognitive and computational social information processing, emotional and social believable Human-Computer Interaction (HCI) systems, behavioural and contextual analysis of interaction, embodiment, perception, linguistics, semantics and sentiment analysis in dialogues and interactions, algorithmic and computational issues for the automatic recognition and synthesis of emotional states

ProDial – an annotated proactive dialogue act corpus for conversational assistants using crowdsourcing

Proactive behaviour is an integral interaction concept of both human-human as well as human-computer cooperation. However, modelling proactive systems and appropriate interaction strategies are still an open quest. In this work, a parameterised and annotated dialogue corpus has been created. The corpus is based on human interactions with an autonomous agent embedded in a serious game setting. For modelling proactive dialogue behaviour, the agent was capable of selecting from four different proactive actions (None, Notification, Suggestion, Intervention) in order to serve as the user’s personal advisor in a sequential planning task. Data was collected online using crowdsourcing (308 participants) resulting in a total of 3696 system-user exchanges. Data was annotated with objective features as well as subjectively self-reported features for capturing the interplay between proactive behaviour and situational as well as user-dependent characteristics. The corpus is intended for building a user model for developing trustworthy proactive interaction strategies

Bridging the gap between robotic technology and health care

Although technology and computation power have become more and more present in our daily lives, we have yet to see the same tendency in robotics applied to health care. In this work we focused on the study of four distinct applications of robotic technology to health care, named Robotic Assisted Surgery, Robotics in Rehabilitation, Prosthetics and Companion Robotic Systems. We identified the main roadblocks that are limiting the progress of such applications by an extensive examination of recent reports. Based on the limitations of the practical use of current robotic technology for health care we proposed a general modularization approach for the conception and implementation of specific robotic devices. The main conclusions of this review are: (i) there is a clear need of the adaptation of robotic technology (closed loop) to the user, so that robotics can be widely accepted and used in the context of heath care; (ii) for all studied robotic technologies cost is still prohibitive and limits their wide use. The reduction of costs influences technology acceptability; thus innovation by using cheaper computer systems and sensors is relevant and should be taken into account in the implementation of robotic systems