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A Multilayer Architecture towards the Development and Distribution of Multimodal Interface Applications on the Edge.

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Summary

This paper introduces a new methodology for developing and deploying custom conversational applications on edge devices using open-source technology. This approach simplifies development for third-party creators, enabling a marketplace for smart assisted living solutions.

Keywords:
application developmentcyber–physical systemshuman–computer interactioninternet of thingssmart assistantssmart environments

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Edge Computing

Background:

  • Smart Assistants (SAs) leverage advanced Natural Language Processing (NLP) and Natural Language Understanding (NLU) for enhanced user experiences in smart homes.
  • Current market SAs, while user-friendly, are limited by proprietary architectures and vendor lock-in, restricting custom application development.
  • Open-source SA development demands significant expertise and resources, posing a barrier for many developers.

Purpose of the Study:

  • To propose a methodology for developing and deploying conversational applications on edge devices using an open-source infrastructure.
  • To simplify the development process for third-party developers and reduce the learning overhead associated with multimodal technologies.
  • To foster a marketplace for customized applications, particularly for the smart assisted living domain.

Main Methods:

  • Development of a multilayer architecture on an open-source software and hardware foundation to manage low-level complexities.
  • Implementation of a supporting framework for application developers, device owners, and administrators for building, testing, and deploying applications.
  • Demonstration focused on health and assisted living applications for the elderly.

Main Results:

  • The proposed methodology successfully simplifies the development and deployment of edge-based conversational applications.
  • The framework facilitates rapid application development and enables remote device control and performance monitoring.
  • A practical demonstration highlighted the potential for health and assisted living use cases.

Conclusions:

  • The methodology effectively lowers the barrier to entry for creating custom SA applications on open-source edge platforms.
  • This approach supports the creation of a diverse application ecosystem, with a notable focus on assisted living solutions.
  • The work paves the way for more flexible and customizable smart environments tailored to specific user needs.