International Journal of Computer Engineering and Information Technology VOL. 9, NO. 8, August 2017, 176–180 Available online at: www.ijceit.org E-ISSN 2412-8856 (Online) Detecting Temporomandibular Joint Disorder (TMJD) Using Modified Euler Angle in Image Processing With First Aid Application Raiza Dimapilis-Borreo 1 and Shaneth C. Ambat 2 1, 2 School of Graduate Studies, AMA Computer University, Maximina St. Villa Arca Subd., Project 8, Quezon City 1 raizaborreo20@gmail.com, 2 shaneth_ambat@yahoo.com ABSTRACT The rapid increase of Temporomandibular Joint Disorder (TMJD) cases has caught the attention of medical industry. However, only few of these cases has been diagnosed properly due to unawareness of the patients and of the high cost of diagnosis. Today, medical mobile applications is becoming prevalent to aid medical specialists and patients. This research study focused on the methods for self-diagnosing TMJ disorder using symptom questionnaire and mesurement of the maximum mouth opening. With incremental development as a software development tool, the mobile application was programmed using Android Studio. Measurement of the maximum mouth opening through image processing involves detecting face and face landmarks, mouth opened/closed detection, distance measurement, Euler Angle modification and measurement of the actual maximum opening with the aid of Google Vision API. A myofascial exercise recommended for relief of pain associated with TMJ disorder is also included in the mobile application. With an average percent difference of 1.21, there is no significant difference between the manual and the mobile measurement of the maximum mouth opening. Evaluated by TMJ practitioners, the mobile application is recommended for self-diagnosis and first-aid of TMJ disorder. Keywords: Temporomandibular joint disorder, image processing, mobile application, self-diagnosis. 1. INTRODUCTION Medical diagnosis is the method of identifying a disease or condition that a person is experiencing along with the symptom’s and signs. It is based on information from sources like interview, physical examination medical history and laboratory tests. Medical diagnosis directs the course of treatment for individuals and it should be conducted right away to prevent worsening of patient’s case. In dentistry, diagnosing conditions in the oral cavity is also common. One of the most common disorder in the oral cavity that mostly affects woman is the temporomandibular joint disorder [11]. TMJ disorder is associated with symptoms like pain in the jaws, headache and locking of the jaw [7][2][4][8]. The method of diagnosing is conducted manually with the use of clinical tools that with improper use becomes unsafe for the patient. The existing clinical methods are also expensive for ordinary individuals. Well in fact, the method can be conducted through a self-diagnosis with an aid of a mobile application. Arising technologies aided with applications installed in mobile platforms become evident nowadays because of its portability and usefulness. The latest generations of smartphones are even viewed as devices used for health care purposes. In fact a large number of mobile applications are already available in the market [5]. With the mobility of smartphones, it is not far that these devices can also be used for self-assessment purposes. Image processing is usefully applied in medical diagnosis. In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Digital acquisition techniques with processing of images becomes an important option especially in medical diagnosis [3]. Moreover, the clinical diagnostic procedure for TMJ disorder is costly. In the long run, unawareness or neglecting of early signs and symptoms of TMJ disorder may lead to even costlier clinical treatment. 1.1 Background of the Study Mobile applications are helpful tools to monitor the health of an individual. Mobile applications or mobile apps are continuously becoming prevalent among medical professionals as stated by [1]12]. In fact, there are already a vast range of mobile applications already being utilized to manage health. These are called as mobile medical apps. As estimated, by 2015, 500 million smartphone users worldwide will be using a medical applications [6]. In 2016, an approximation of 30-50% of