Hand gesture recognition based bed position control for disabled patients
Kalpana Lamb, Swati P. Madhe · 2016
The electronic bed systems used in hospitals, health care centers are used for disabled patients, paralyzed persons, in accident cases and for old age people. The available existing electronic bed systems have only two movements of the bed such as front and back. If the patient wants to move to his right or left side, then there is always the necessity of caretakers to help patients to change their positions. So, to minimize the caretaker's requirement and to increase the comfort level of the patient, we have proposed a bed system in which right and left movements are added to the existing electronic bed system. In this case the position of the bed is controlled automatically by using hand gesture recognition. The system consists of the image processing algorithms which includes background subtraction to identify the difference between background image and the current image. The shape feature extraction using wavelet decomposition is used to extract the features of segmented image and Euclidean Distance (ED) is used as classifier to classify different gestures. The output of the classifier can be given to micro-controller to drive two motors to have four different positions of the bed.