Haptic Middleware Based Software Architecture for Smart Learning

Abstract

The software architecture of smart learning environment can be perceived as an environment that is equipped with various audio-visual objects to capture human motion, utterance and gesture, allowing the teacher to deliver lectures to both local and remote audience through the Internet. The interactive objects in such architectural environment are interfaced with simple navigation, depending on operation characteristics, voice, tactile and visual interaction with the aim to improve Human-Machine Interaction. This facilitates effective data acquisition and statistical analysis, in order to assist in decision making by the participants, as well as, apply them in the process of self-assessment. This paper discusses the design and implementation of integrating hap tic technologies into the architecture of smart learning environment by designing components of service oriented software middleware that defines a common gesture framework, and thus allowing multiple hap tic and gesture peripherals to share a within common protocol, as well as, enabling individual device to work as stand-alone entity.