A Serious Games Development Environment

Un ambiente per lo sviluppo di Serious Game

Hardness Amplification for Non-Commutative Arithmetic Circuits

We show that proving mildly super-linear lower bounds on non-commutative arithmetic circuits implies exponential lower bounds on non-commutative circuits. That is, non-commutative circuit complexity is a threshold phenomenon: an apparently weak lower bound actually suffices to show the strongest lower bounds we could desire. This is part of a recent line of inquiry into why arithmetic circuit complexity, despite being a heavily restricted version of Boolean complexity, still cannot prove super-linear lower bounds on general devices. One can view our work as positive news (it suffices to prove weak lower bounds to get strong ones) or negative news (it is as hard to prove weak lower bounds as it is to prove strong ones). We leave it to the reader to determine their own level of optimism

Gamification of a system for real time monitoring of posture

In this paper the gamification of a system for monitoring bad postural behavior is presented. The system is designed having children as main target users. Bad posture is a known cause of possible severe disorders in childhood and, in the worst-case scenario, may entail permanent spinal deviations. The developed system consists of two main components: a device equipped with inertial sensors (accelerometer, magnetometer and gyroscope), which are able to measure the patient's spinal curvature, and a Game Engine plugin (Unity3D and Udk) that provides the reading of the device data and through which the game programmer can link the posture information to a game variable such as: life count, number of enemies, energy and so on. If the player is in a bad posture, he gets negative feedback during the game, which affects the value of the associated variable

Towards a virtual reality interactive application for truck traffic access management

This paper presents an ongoing work towards the realization of a virtual reality system providing an advanced visualization of the access of trucks to a critical road segment, such as a tunnel. The systemis currently based on optical and laser sensors, and is able to recognize a truck in a dedicated road lane, and to produce a 3D model of the identified vehicle. The 3D model is then employed inside an interactive 3D application usable in real-time by personnel in a dedicated access/traffic management center. The final goal is to integrate several layers of sensor data (e.g., also including infrared information on the temperature of the truck components) in order to supportmonitoring and control of the critical road segment