518 research outputs found
Household Survival
Generic multi-button controllers are the most common input
devices used for video games. In contrast, dedicated game
controllers and gestural interactions increase immersion
and playability. Room-sized gaming opens up possibilities
to further enhance the immersive experience, and provides
players with opportunities to use full-body movements as
input. We present a purpose-centric approach to appropriating
everyday objects as physical game controllers,
for immersive room-sized gaming. Virtual manipulations
supported by such physical controllers mimic real-world
function and usage. Doing so opens up new possibilities for
interactions that flow seamlessly from the physical into the
virtual world.
As a proof-of-concept, we present a ‘Tower Defense’ styled
game, that uses four everyday household objects as game
controllers, each of which serves as a weapon to defend
the base of the players from enemy bots. Players are provided
with: 1) a broom to sweep away enemy bots directionally;
2) a fan to scatter them away; 3) a vacuum cleaner
to suck them; 4) a mouse trap to destroy them. Each controller
is tracked using a motion capture system. A physics
engine is integrated in the game and ensures virtual objects
act as if they are manipulated by the actual physical
controller, thus providing players with an immersive gaming
experience
Societal need for multifunctional flood defenses: Introduction
Prof.dr.ir. Matthijs Kok is Professor of Flood Risk at the Faculty of Civil Engineering and Geosciences at TU Delft; he was Program leader of the ‘Integral and Sustainable Design of Multifunctional Flood Defenses’ research program, funded by the Dutch Science and Technology Foundation STW. Presently, he is Program leader of the STW-Perspectief research program ‘All RISK’, which will study the implementation of new risk standards in the Dutch national flood protection program (2017-2022). Hydraulic Structures and Flood Ris
Correction to: CT angiography vs echocardiography for detection of cardiac thrombi in ischemic stroke: a systematic review and meta-analysis (Journal of Neurology, (2020), 267, 6, (1793-1801), 10.1007/s00415-020-09766-8)
The original version of this article unfortunately contained a mistake. In the author list, the first and last names of two authors, S. Matthijs Boekholdt and R. Nils Planken, were tagged incorrectly. Therefore, author names are abbreviated wrongly in Springerlink. The first and last names should be as follows: First name: S. Matthijs Last name: Boekholdt First name: R. Nils Last name: Planken
"What drives ability peer effects?" Replication Datasets
Data repository for replication datasets of "What drives ability peer effects?", Max Coveney and Matthijs Oosterveen, European Economic Review.The archived datasets contain all variables that were available to the researchers and allows for complete replication. Separate datasets are used for the different types of analyses (student level, student-course level, student-pair level). The student and group IDs are anonymized to prevent identification of individuals. Access to the data can be granted by submitting a research request to the corresponding author ([email protected]).The full paper can be found at: https://doi.org/10.1016/j.euroecorev.2021.103763</div
Corrigendum to “The right hemisphere is dominant in organization of visual search—A study in stroke patients” [Behav. Brain Res. 304 (2016) 71–79]((S0166432816300626)(10.1016/j.bbr.2016.02.004))
The authors regret as the name of the second author was published incorrectly. The correct surname is ‘Biesbroek’ and the correct first names are “J. Matthijs”. The authors would like to apologise for any inconvenience caused
Jeremiah 28:8–9 and the Oracles against the Nations
This article focuses on Jer 28:8–9, a text commonly considered as proof for the existence of “prophecies against the nations” as a distinct kind of prophecy in the late monarchic era. The author, however, argues that Jer 28 does not testify to a subgenre of prophecy, but rather to the appearance of foreign nations in prophetic oracles in general, in which they figure as “the enemy” who will be trampled down. According to this understanding, it is not Jeremiah, but Hananiah who prophesies “war” – for Babylonia. And it is Jeremiah who prophesies “peace” – again for Babylonia. In 28:1–14*, which belongs to the earliest narrative traditions relating to Jeremiah, the prophet Jeremiah is depicted as announcing Babylonia’s good fortune, thereby implying that Judah’s survival depends on submission. During a much later, redactional stage, Babylonia’s ruination became part of the preaching ascribed to Jeremiah. It is in this redactional sphere that we can situate the Oracles concerning the Nations. Accordingly, they constitute a literary development, not a subclass of oral prophecy
Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs
Iteratively solving a set of linear programs (LPs) is a common strategy for solving various decision-making problems in Artificial Intelligence, such as planning in multi-objective or partially observable Markov Decision Processes (MDPs). A prevalent feature is that the solutions to these LPs become increasingly similar as the solving algorithm converges, because the solution computed by the algorithm approaches the fixed point of a Bellman backup operator. In this paper, we propose to speed up the solving process of these LPs by bootstrapping based on similar LPs solved previously. We use these LPs to initialize a subset of relevant LP constraints, before iteratively generating the remaining constraints. The resulting algorithm is the first to consider such information sharing across iterations. We evaluate our approach on planning in Multi-Objective MDPs (MOMDPs) and Partially Observable MDPs (POMDPs), showing that it solves fewer LPs than the state of the art, which leads to a significant speed-up. Moreover, for MOMDPs we show that our method scales better in both the number of states and the number of objectives, which is vital for multi-objective planning.Algorithmic
"What drives ability peer effects?" Replication Datasets
Data repository for replication datasets of "What drives ability peer effects?", Max Coveney and Matthijs Oosterveen, European Economic Review. The archived datasets contain all variables that were available to the researchers and allows for complete replication. Separate datasets are used for the different types of analyses (student level, student-course level, student-pair level). The student and group IDs are anonymized to prevent identification of individuals. Access to the data can be granted by submitting a research request to the corresponding author ([email protected]). The full paper can be found at: https://doi.org/10.1016/j.euroecorev.2021.10376
Control of a Scaled Vehicle in and Beyond Stable Limit Handling
In this research a controller is developed that can control path-tracking both within and beyond stable limit handling. A controller is developed, based on the equations of motion of the nonlinear bicycle model. The performance of the controller is evaluated in both simulation and on a 1/10 scale radio controlled car. The controller is able to track a path in typical cornering conditions and let the vehicle enter and maintain a drift while remaining close to the desired path.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cognitive Robotic
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