Daniele Nadalutti

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Natural and man-made disasters present the need to efficiently and effectively evacuate the people occupying the affected buildings. Providing appropriate evacuation instructions to the occupants of the building is a crucial aspect for the success of the evacuation. This paper presents an approach for giving evacuation instructions on mobile devices based(More)
The availability of more powerful mobile devices, sometimes equipped with graphics accelerators, is making it easier to experiment with mobile 3D graphics. In this paper, we exploit the main emerging standard in 3D rendering on mobile devices (OpenGL ES) to build a mobile player (called MobiX3D) for X3D and H-Anim content. The rendering engine of the(More)
Sports and fitness are increasingly attracting the interest of computer science researchers as well as companies. In particular, recent mobile devices with hardware graphics acceleration offer new, still unexplored possibilities. This paper investigates the use of mobile guides in fitness activities, proposing the Mobile Personal Trainer (MOPET)(More)
Humanoid animation is a complex task which usually requires particular skills and training. To simplify this process we propose a visual tool, called H-Animator, which aims to help animators (especially the novice ones) in modeling X3D animations for H-Anim humanoids. Besides easiness of use, achieved through intuitive metaphors and interaction styles, we(More)
Interactive visualization of large 3D architectural models on mobile devices such as PDAs would significantly benefit applications such as indoor navigators and mobile tourist guides, on-site monitoring and annotation of architectural designs at construction sites, evacuation training and evacuation guidance. Although PDAs are becoming more powerful and a(More)
This paper presents a tool for the visual analysis of fitness performance data, such as running speed and heart rate. The tool, called MOPET Analyzer, provides a set of interactive visualizations that allow the user to analyze the relations among the different parameters of a fitness session. We developed two versions of MOPET Analyzer: one for desktop(More)
Embodied agents are employed in several applications (e.g. computer-based presentations, help systems, e-learning and training, sign language communication for the deaf), but the process of developing them is still complex (e.g., modeling animations is one of the difficult and time-consuming tasks). Moreover, although mobile devices have recently reached a(More)
This paper proposes a novel trail sharing system for mobile devices that deals with context information collected by sensors, as well as users' personal opinions (e.g., landscape beauty) specified by ratings. To help the user in finding trails that are more suited to her, the system exploits a collaborative filtering approach to predict the ratings users(More)
Natural and man-made disasters present the need to efficiently and effectively evacuate the people occupying the affected buildings. In such situations, people are usually under stress and the use of a location-aware mobile application for giving evacuation instructions in simple and effective ways can be useful to improve users' decision making. This paper(More)
This paper investigates the use of mobile guides in fitness activities, proposing the Mobile Personal Trainer (MOPET) application. MOPET uses a GPS device to monitor user's position during her physical activity in an outdoor fitness trail. It provides navigation assistance by using a fitness trail map and giving speech directions. Moreover, MOPET provides(More)