Augmented Reality for Life Support Training Fabrício Pretto 1 , Isabel H. Manssour 1 , Emerson Rodrigues da Silva 3 , Maria Helena Itaqui Lopes 2 , Márcio Sarroglia Pinho 1 1 FACIN – Faculdade de Informática - PUCRS 2 FAMED – Faculdade de Medicina – PUCRS 3 Hospital São Lucas - PUCRS Av. Ipiranga, 6681 - Prédio 32 - 90619-900 - Porto Alegre/RS - Brasil fpretto@inf.pucrs.br, isabel.manssour@pucrs.br, kiko72@terra.com.br, mitaqui@pucrs.br, pinho@pucrs.br Abstract The area of Medical Qualification in Life Support training is being constantly improved. However, many problems are identified in the training process, such as the lack of realism in the exercises and the low student involvement. In order to qualify the learning process, the ARLIST project (Augmented Reality for Life Support Training) is being developed to add computational resources as sound and images, in the manikins used in the training courses. Through Augmented Reality techniques, the use of OpenGL and some computational resources (e.g. projector ad video camera), it is possible to build an application that defines the images and sounds that should appear in accordance to the patient clinical state. This ongoing work is being here described. 1. Introduction Through the development and use of new technologies, applied computer systems contribute for the qualification and expansion of several areas. Inside the Medicine area, the qualifying process for Life Support (LS) training is based in simulations of emergency situations, in which the students can practice in realistic patient care scenarios using manikins. Usually, these scenarios prepared by the training team, taking into account some case studies, include: reanimation operations, first aid to patients victims of accidents, sudden attacks or downfall [1]. They aim to make the students capable of helping in the first aid service. Computer Graphics, Virtual and Augmented Reality techniques provide more interactivity and increase the realism during training process. Thus, the ARLIST Project has the main goal of qualifying the traditional training environment adding images and sound in the manikins used in LS courses. This poster is organized as follows: Section 2 presents some requirements of the existing LS systems. The project implementation and functionalities are described in Section 3. The future work and conclusions are presented in Section 4 2. Life Support Training LS training is developed in all over the world and is divided in the following categories: cardiac (ACLS – Advanced Cardiac Life Support), pediatric (PALS – Pediatric Advanced Life Support) and trauma (ATLS – Advanced Trauma Life Support) [3]. The main goal of these courses is to qualify the emergence medical service through specific training in each area. An important requirement during training process is to keep a manikin always present, since it is the connection with the real world. Current manikins have several resources incorporated to allow and facilitate a qualified training, such as pulse, arrhythmia and ascultation simulator and intubation training. However, some deficiencies have been detected in the existing training structure. For example: automatic feedback to the students as consequence of their actions on the manikin, images as face expression and body injuries, and the combination of images and sounds that represent the current patient clinical state. 3. ARLIST Project Recent methodology used in LS training, consists in the presentation of real situations for LS based in