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Application of AI-based assistive robotics to reinforce learning of daily living actions: initial technical validation with users

4 pagesPublished: February 16, 2023

Abstract

This paper presents an assistive robotic application that enables people with disabili- ties to improve their participation in daily living activities and mobility. Technically, we describe an assistive robot where we implement an online action detection model, which is integrated in an application software that is able to track the progress of users in terms of learning and reinforcement of four dissimilar everyday activities. In this work, we report a first technical validation based on four-week trials with four subjects. There were a variety of neurodevelopmental disorders present in the subjects who participated in the sessions. By considering this aspect, we are able to predict how the system will behave with real end users and the main results of this technical validation are presented. Overall, we can conclude that the artificial intelligence modules for action recognition have performed well, and that the designed user application allows to track the learning and reinforcement of daily life activities performed by the users.

Keyphrases: Artificial Intelligence, Assistive Robotics, Daily Life Activities, Neurodevelopmental disorders

In: Alvaro Leitao and Lucía Ramos (editors). Proceedings of V XoveTIC Conference. XoveTIC 2022, vol 14, pages 53--56

Links:
BibTeX entry
@inproceedings{XoveTIC2022:Application_of_AI_based_assistive,
  author    = {Nadia Nasri and Soraya Pacheco da Costa and Iv\textbackslash{}'an Fern\textbackslash{}'andez Munilla and Carlos Guti\textbackslash{}'errez \textbackslash{}'Alvarez and Thais Pousada Garc\textbackslash{}'ia and F. Javier Acevedo-Rodriguez and Saturnino Maldonado-Basc\textbackslash{}'on and Roberto J. L\textbackslash{}'opez Sastre},
  title     = {Application of AI-based assistive robotics to reinforce learning of daily living actions: initial technical validation with users},
  booktitle = {Proceedings of V XoveTIC Conference. XoveTIC 2022},
  editor    = {Alvaro Leitao and Luc\textbackslash{}'ia Ramos},
  series    = {Kalpa Publications in Computing},
  volume    = {14},
  pages     = {53--56},
  year      = {2023},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {https://easychair.org/publications/paper/BVgZ7},
  doi       = {10.29007/33f5}}
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