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Real-time Application for Monitoring Human Daily Activity and Risk Situations in Robot-Assisted Living

  • Mário Vieira
  • Diego R. Faria
  • Urbano Nunes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 418)

Abstract

In this work, we present a real-time application in the scope of human daily activity recognition for robot-assisted living as an extension of our previous work [1]. We implemented our approach using Robot Operating System (ROS) environment, combining different modules to enable a robot to perceive the environment using different sensor modalities. Thus, the robot can move around, detect, track and follow a person to monitor daily activities wherever the person is. We focus our attention mainly on the robotic application by integrating several ROS modules for navigation, activity recognition and decision making. Reported results show that our framework accurately recognizes human activities in a real time application, triggering proper robot (re)actions, including spoken feedback for warnings and/or appropriate robot navigation tasks. Results evidence the potential of our approach for robot-assisted living applications.

Keywords

Mobile Robot Activity Recognition Risk Situation Human Action Recognition Robot Operating System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Electrical and Computer Engineering, Institute of Systems and RoboticsUniversity of Coimbra, Polo IICoimbraPortugal

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