Removal of Head Movement Artifacts in EEG comes under the Domain of Bio-Medical Engineering. In Electroencephalogram (EEG), the measurements are based on the Human Brain Activities, so the output should be very accurate. But, Because of the Artifacts present in the EEG signal the Accuracy of the signal is reduced. So, improvements are needed to obtain the accurate output. Different types of artifacts occur during the EEG recording such as Head Movement Artifacts, Eye Blink Artifacts, Respiration Artifacts, Muscle Movement Artifacts, and Improper Electrode Placement Artifacts and Environmental factors. This Paper is about the removal of Head Movement Artifacts. It can be implemented by using the Independent Component Analysis (ICA) Method, which separates the multivariate components into subcomponents. EEG signal is a multivariate component signal which consists of Pure EEG signal associated with Artifacts. It can be recorded by using EEG Electrodes connected to the PC with the Necessary Amplification section. Accelerometer is used to measure the Head movement in the tri-axis. Head Movement signals are recorded separately using the Accelerometer and correlated with the EEG signal by passing the both signal to the ICA. The signals which are correlated with each other are considered as Artifacts and flagged for the removal.