AI-Enabled Elderly Care Robot

Iram Noreen; Adeel Akbar; Uzair Siddiqui

Author(s)

Iram Noreen Department of Computer Science, Bahria University, Islamabad, Lahore 54000, Pakistan.

Adeel Akbar Department of Computer Science, Bahria University, Islamabad, Lahore 54000, Pakistan.

Uzair Siddiqui Department of Computer Science, Bahria University, Islamabad, Lahore 54000, Pakistan.

Abstract

Increasing average human age and growing number of old age population over the globe has emerged the need of automation in health care domain. Eventually, health care robots will contribute to manage the workload of care provider in future health care domain. Elderly people face major challenge to identify and pronounce names of daily use objects and different family and friends due to dementia related issues. One of the many tasks by AI-Enabled elderly care humanoid robots will be the communication with such patients. They will aid them to remember objects and persons they find difficult to identify and recognize due to dementia. This study has investigated the potential of JD humanoid robot for object identification in such scenario. The study has presented prototype AI-Enabled elderly care robot which can aid elder persons to identify different objects. The robot is trained on ImageNet data set for object identification. Further, a personalized data set comprising of faces of different persons labelled by names of family and friends is also used to train robot for family recognition aid. The JD Humanoid robot captures image of object/person and also tracks it as the object/face moves. It identifies input image and outputs in voice the name of the object/person to guide the elderly person. The third feature of robot is the notifications of daily routine tasks for elder person like reminder for prayer, exercise walk and medicine intake. Robot training has shown object and person identification with 95% accuracy.

Publication Details

Page(s) 22-29

DOI DOI not available

Published Journal: Journal of Information Communication Technologies and Robotic Applications, Volume: 11, Issue: 2, Year: 2020

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Keywords

Convolutional Neural Network, Object De, Elderly Care, humanoid Robot