In this work a novel audio binaural mixing platform is presented which employs advanced gestural-based interaction techniques for controlling the mixing parameters. State-of-the-art binaural technology algorithms are used for producing the final two-channel binaural signal. These algorithms are optimized for realtime operation, able to manipulate high-quality audio (typically 24bit / 96kHz) for an arbitrary number of fixed-position or moving sound sources in closed acoustic enclosures. Simple gestural rules are employed, which aim to provide the complete functionality required for the mixing process, using low cost equipment. It is shown that the proposed platform can be efficiently used for general audio mixing / mastering purposes, providing an attractive alternative to legacy hardware control designs and software-based mixing user interfaces.

In order to promote a more dynamic and flexible communication between the learner and the system, we present a structure of a new innovative and interactive e-learning system which implements emotion and level of cognition recognition. The system has as inputs the emotional and cognitive state of the user and re-organises the content and adjusts the flow of the course. Our concept aims to increase the learning efficiency of intelligent tutoring systems by using a combination of characteristics, such as content customization and user’s emotion recognition, and adapting all these features into a learner-centered educational system.