Abstract

Prototyping and evaluation of interactive and customized interface and control algorithms for robotic assistive devices using Kinect and infrared sensor

Highlights

  • Robotic assistive devices are common in both research and medical fields for their potential usefulness and ability to automate difficult or tedious tasks

  • The term robotic assistive device refers to a machine which may be controlled either directly by a user or operating independently and is designed to assist humans in a task

  • One of the major focuses of research relating to robotic assistive devices is developing interfaces for users

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Summary

Introduction

Robotic assistive devices are common in both research and medical fields for their potential usefulness and ability to automate difficult or tedious tasks. The Kinect v2’s low cost and ideal setup to detect human gestures make it a viable alternative to traditional motion capture rigs The goal of this experiment is to examine the ability of these two devices and determine their potential to be used together to implement a versatile and customizable experience for users of robotic assistive devices, whether they be used for rehabilitation or teleoperation uses. The emotional estimation of the user’s state would be sent to the control program to be used as another way to set the flags to control motor speed These experiments make use of the Compix 222 thermal imaging system to obtain facial temperature data. It was found that the Grid-EYE system did not have a suitable resolution to identify regions of the face, and the Compix 222 was selected due to its higher resolution output

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