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PHAROS-PHysical Assistant RObot System.

Angelo Costa1, Ester Martinez-Martin2, Miguel Cazorla3

  • 1ALGORITMI Center, University of Minho, 4704-553 Braga, Portugal. acosta@di.uminho.pt.

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Summary
This summary is machine-generated.

PHAROS, an interactive robot system, promotes active ageing by recommending and monitoring personalized physical exercises for seniors. This system accurately detects exercises and adapts recommendations based on user health status, aiding in early health problem detection.

Keywords:
ambient assisted livingcognitive assistantdeep learningelderly physical exercisegesture recognitionhuman exercise recognitionrobot assistant

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Area of Science:

  • Robotics
  • Gerontology
  • Artificial Intelligence

Background:

  • Societal ageing necessitates technological solutions for elderly care.
  • Existing methods for monitoring elderly physical activity are limited.

Purpose of the Study:

  • To introduce PHAROS, an interactive robot system for personalized exercise recommendation and monitoring in the elderly.
  • To promote healthy living and active ageing through technology.

Main Methods:

  • PHAROS architecture: Pepper robot for interaction and data collection, Deep Learning for Human Exercise Recognition, and a Recommender system for personalized scheduling.
  • Development of a novel exercise rating procedure integrated into the recommendation algorithm.

Main Results:

  • High accuracy (97.35%) in detecting and classifying physical exercises performed by users.
  • The recommendation algorithm effectively adapts to user health status, using performance data to infer potential health issues.

Conclusions:

  • PHAROS offers a viable technological solution for supporting active ageing and monitoring elderly health.
  • The system's ability to track physical activity and adapt recommendations provides valuable insights into users' physical condition.