Research on the Application of Machine Learning Algorithm and Fuzzy Logic in Eating Assistive Robot 
Mubashar Nawaz1, Xianhua Li2, Sohaib Latif3, Sadaf Irshad4, Shabnam Sarwar5
1Mubashar Nawaz, School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China.
2Xianhua Li, School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China.
3Sohaib Latif*, School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China.
4Sadaf Irshad, School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China.
5Shabnam Sarwar, School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China.
Manuscript received on October 07, 2021. | Revised Manuscript received on October 11, 2021. | Manuscript published on October 30, 2021. | PP: 71-77 | Volume-10 Issue-4, November 2021. | Retrieval Number: 100.1/ijrte.D65431110421 | DOI: 10.35940/ijrte.D6543.1110421
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Eating Assistive Robot, Fuzzification, Assistive Feeding, Machine Learning