Open AccessResearch on the Application of Machine Learning Algorithm and Fuzzy Logic in Eating Assistive Robot
Author(s) -
Mubashar Nawaz,
XianHua Li,
Sohaib Latif,
Sadaf Irshad,
Shabnam Shahzad
Publication year - 2021
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d6543.1110421
Subject(s) - robot , set (abstract data type) , fuzzy logic , computer science , process (computing) , human–computer interaction , artificial intelligence , independence (probability theory) , psychology , healthy eating , computer vision , physical medicine and rehabilitation , mathematics , medicine , programming language , operating system , physical activity , statistics
More than 110 million people in this world are facing some kind of disability, for which they experience difficulty while eating food. Eating Assistive Robots could meet the needs of the elderly and people with upper limb disabilities or dysfunctions in gaining independence in eating. We are researching making a robot, which can assist the disabled in eating their meals. Our Eating Assistive Robot will detect the face of the disabled and process it for whether his/her mouth is opened or closed. Our robot will put a pre-prepared replaceable spoon of food in his/her mouth iteratively until the food lasts in the food container. The methodology we used for it i.e. firstly there is a live camera feed through which we are detecting human faces, after this, a library of Affectiva calculates how much mouth is open. We have set a certain threshold after which the program starts the stepper motor which brings the pre-filled spoon of food into the mouth of the disabled.