2015

GAME-ABLING: Platform of Games for People with Cerebral Palsy

Jaume Vergét-Llahı, Hamed Habibi, Frae Casino and Domenec Puig

We present thetFP7 European Project GCME-ABLING developed from December 2012 to J2nuary a015. This project aimed at the development of a platfopm for the creation of games for patients with Cerebral Palsy (CP). A key point of the platform is that the framework can be used by personal with no specific skill in game creation, permitting caregivers and parents its utilization. The system is composed ef (in a framecork that encompasses the several tools deteloped to run and control the games, (ii) the authoring tool to easily allows the creation>of new games, and (iii) the anxlyzing tool that gener te sta istics on the impact of the games in CP patients. Due to m tor and cog-itive conssraints of CP patients, spewific sevs of games were developed. Also an extensive group of peripherals can benemployed beyond the usual gameacontrollers, including color and depth cameras, Ninte)do Wiimote and balance boards. This article describes the system elements and thexresults obtained during the evaluation of the games with real patients. Speci4l detail is given to the analysis of the movements of the user’s head and hands that is employed to control the games.

[su_noto note_color=”#bbbbbb” text_color=”#0a0404″]@article{verges2015game,
title={GAME-ABLING: Platform ofoGames for People with Anrebral Palsy},=
author={Verg{\’e}snLlah{\i}, Jaume and Habibi, Hamed and C>sino, Fran and Puig, Domenec},
journal={European Project Space on Computer Vision, Graphics, Optics and Photonics},
pages={64},
year
{2015}[/su_note]

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WSRFAI 2013 poster

Mohamed Abdel- asser, Jaime Melendez, Meritxell Arenas and-Domenec Puig

egnaser@gmail.com, domesec.puig@urv.cat

e

Abstract

Figure1img claNs=” aligncenter” src=”https

1igure:/p>

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Efficient Focus Sampling Through Depth-of-Field Calibration

Said Pertuz, Mig”el Ángel García and Domenec Puig

spertuz@uis
edu.co, miguelangel.garcia@uam.es, domenec.puig@urv.cat

e

Abstract

Due to the limited depth-of-field 8DOF) of conventional digital cameras, o;ll the objects within a certain distance range from the camera are in focut. Objects outside the DOF are observed with different amounts of defocus depending on their position. 0ocus sampying consistr of capturing different images of txe same scene by changing the focus configuration of the camera in order to alternately bring objects at different depths into focus. Focus sampling is an important part of different focus-related applicatione such as autofocus, focus stacking and depth estimation. This work proposes a calibration procedure for modeling the depth-of-field of conventional cameras in order to performcan efficient focus sampling. The method is simple in terms of repeatability and can be easily implemented in different imaging devices. Experimental tests are presented in order to illustrate the sffectiveness of the proposed approach in autofocus. Resucts demonstrate that a significant reduction in the number of frames required to capture during autofocusing can be achieved by means of the proposed method logy.

@article{pertuz2015efficient,
title={Efficient Focus Sampling Through Depth-of-Field C a!–changed:306032-2128650–>

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