Design of Eye Template Matching Method for Head Gesture Recognition System Rushikesh T. Bankar and Suresh S. Salankar 1 Introduction Today’s electric wheelchair is based on hand gesture based, eye based, voice based, and joystick based used by the handicapped peoples. The recognition of the gestures, hand or head generates the control signals. In the process of recognition of the user’s head gestures, the control signals generated by the user’s body parts mean hand or head is recognized by the receiver. The gestures are expressive, having meaningful user’s body motions which involve the physical movements of the human body parts such as hands, arms, fingers, and head which conveys the meaningful information or doing some needful actions. In any gesture recognition, the environmental con- ditions may play an important role. The applications of the recognition of the user’s head gestures have various applications namely security purpose to recognize the sign language means hand gesture recognition, for the medical applications, such as handicapped peoples, monitoring automobile driver’s alertness/drowsiness levels, etc. In head gesture recognition based interface (HGI) process, the face detection, in the particular environmental condition or the user using the system or wheelchair in indoor or outdoor environmental conditions, is very useful. The face tracking is also important to track under different environmental conditions. Some difficulties deal with traditional electric wheelchairs controlled by eye, voice based, hand control based, and head controlled based wheelchair. These difficulties are when the user’s R. T. Bankar Department of Electronics Engineering, G H Raisoni College of Engineering, Nagpur, India e-mail: rushikesh.bankar@raisoni.net S. S. Salankar (B ) Department of Electronics & Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, India e-mail: suresh.salankar@raisoni.net © Springer Nature Singapore Pte Ltd. 2019 S. Tiwari et al. (eds.), Smart Innovations in Communication and Computational Sciences, Advances in Intelligent Systems and Computing 851, https://doi.org/10.1007/978-981-13-2414-7_1 3