Visual and Gyroscope Sensor for Head Movement Controller System on Meal-Assistance Application

Head movement utilizes gestures to aid people with disabilities so that they can have hands-free human-computer interaction. Currently, motion-based sensor is the most widely used approach to recognize head gestures. Identification of head movement is importantto control a robotic manipulatorin an assisting device. However, the most effective methodologiesto assessheadangular movements are yet to be discovered. This papercombinestwo algorithms, the visual sensor and the gyro sensor,to identify head orientation movementwith highprecision. Head orientations were measured using data distribution and this was done with ameal-assistance robot manipulatorused in a sitting position. Evaluation ofthe accuracy of the systemshowsa visualsensorandgyro sensor. Experimental results show that a correct head movement with the average accuracy is 82%. Therefore, we propose the application ofposition control of meal assistive robot based on user's head movement in asitting position.