Determining Trajectories for Hair Wash and Head Massage Robot Based on Artificial Neural Network

ABSTRACT

The medical and healthcare field is more interesting and studied in the era of science and technology development. Hair washing helps remove dirt and healthy hair and reduces the risk of scalp diseases, and according to Vietnamese traditional medicine, massage according to acupressure points is one of the methods of treating pain and fatigue, and it helps to recover from the treatment process, reducing stress, etc. In the stage of the COVID-19 epidemic, the shortage of medical staff occurs in many hospitals that are overloaded with patient care, especially bedridden patients, who need special care and hair washing, and massage head can help them relax and help recover from some diseases. This study proposes an approach to identify acupressure points on the head, and it is used for the hair washes and head massage robot for the patient's head. Hair wash and head massage robot by using water jets is proposed, which avoids the spread of some diseases by direct contact, and it reduces the shortage of medical care workers at hospitals. The study proposes a CNN to recognize the home point of the robot mounted on the face with the accuracy of, combined with signals from sensors, to determine the necessary dimensions of the human head. The ANN is used to predict the massage trajectories for the robot to suit each different patient. The overall results are evaluated with an accuracy of 97.56% with the training dataset and 95.12% with the test data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.