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Dive into the research topics where Kenneth Bodin is active.

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Featured researches published by Kenneth Bodin.


IEEE Transactions on Visualization and Computer Graphics | 2012

Constraint Fluids

Kenneth Bodin; Claude Lacoursière; Martin Servin

We present a fluid simulation method based on Smoothed Particle Hydrodynamics (SPH) in which incompressibility and boundary conditions are enforced using holonomic kinematic constraints on the density. This formulation enables systematic multiphysics integration in which interactions are modeled via similar constraints between the fluid pseudoparticles and impenetrable surfaces of other bodies. These conditions embody Archimedes principle for solids and thus buoyancy results as a direct consequence. We use a variational time stepping scheme suitable for general constrained multibody systems we call SPOOK. Each step requires the solution of only one Mixed Linear Complementarity Problem (MLCP) with very few inequalities, corresponding to solid boundary conditions. We solve this MLCP with a fast iterative method. Overall stability is vastly improved in comparison to the unconstrained version of SPH, and this allows much larger time steps, and an increase in overall performance by two orders of magnitude. Proof of concept is given for computer graphics applications and interactive simulations.


Acta Neurologica Scandinavica | 2011

A virtual reality test battery for assessment and screening of spatial neglect

Helena Fordell; Kenneth Bodin; Gustaf Bucht; Jan Malm

Fordell H, Bodin K, Bucht G, Malm J. A virtual reality test battery for assessment and screening of spatial neglect.
Acta Neurol Scand: 2011: 123: 167–174.
© 2010 John Wiley & Sons A/S.


human factors in computing systems | 2010

Effects of interactivity and 3D-motion on mental rotation brain activity in an immersive virtual environment

Daniel Sjölie; Kenneth Bodin; Eva Elgh; Johan Eriksson; Lars-Erik Janlert; Lars Nyberg

The combination of virtual reality (VR) and brain measurements is a promising development of HCI, but the maturation of this paradigm requires more knowledge about how brain activity is influenced by parameters of VR applications. To this end we investigate the influence of two prominent VR parameters, 3d-motion and interactivity, while brain activity is measured for a mental rotation task, using functional MRI (fMRI). A mental rotation network of brain areas is identified, matching previous results. The addition of interactivity increases the activation in core areas of this network, with more profound effects in frontal and preparatory motor areas. The increases from 3d-motion are restricted to primarily visual areas. We relate these effects to emerging theories of cognition and potential applications for brain-computer interfaces (BCIs). Our results demonstrate one way to provoke increased activity in task-relevant areas, making it easier to detect and use for adaptation and development of HCI.


Topics in Stroke Rehabilitation | 2016

RehAtt - scanning training for neglect enhanced by multi-sensory stimulation in Virtual Reality.

Helena Fordell; Kenneth Bodin; Anders Eklund; Jan Malm

Background: There is a lack of effective treatment for neglect. We have developed a new training method, RehAtt™. The objective of this study was to determine whether RehAtt™ improves spatial attention in chronic neglect after stroke. Methods: RehAtt™ consists of a computer with monitor, 3D glasses, and a force feedback interface (Robotic pen) giving sensory motor activation to the contra-lesional arm. The software combines visual scanning training with multi-sensory stimulation in 3D virtual reality (VR) game environment. Fifteen stroke patients with chronic neglect (duration > 6 month) had repeated baseline evaluations to confirm stability of symptoms. There were no test–retest effects for any of the tests. Thereafter, all patients trained 15 h in RehAtt™ (3 × 1 h for 5 weeks). A neglect test battery and Catherine Bergego Scale, CBS, were used to assess behavioral outcome after intervention. CBS was also used at a 6-month follow-up. Results: Using repeated measurement analysis improvements due to the training were found for Star cancellation test (p = 0.006), Baking tray task (p < 0.001), and Extinction test (p = 0.05). In the Posner task improvements were seen fewer missed targets (p = 0.024). CBS showed improvements in activities of daily life immediately after training (p < 0.01). After 6 months the patients still reported improvement in CBS. Conclusion: RehAtt™ is a new concept for rehabilitation of neglect. Training with the VR-method improved spatial attention and showed transfer to improved spatial attention in activities of daily living in chronic neglect. Our results are promising and merit further studies.


International Journal for Numerical Methods in Engineering | 2014

Examining the smooth and nonsmooth discrete element approaches to granular matter

Martin Servin; Da Wang; Claude Lacoursière; Kenneth Bodin


human factors in computing systems | 2006

easyADL - Wearable Support System for Independent Life despite Dementia

Anders Backman; Kenneth Bodin; Gösta Bucht; Lars-Erik Janlert; Marcus Maxhall; Thomas Pederson; Daniel Sjölie; Björn Sondell; Dipak Surie


Archive | 2010

METHOD, AN APPARATUS AND COMPUTER PROGRAM PRODUCT FOR SIMULATING DYNAMIC FLUIDS

Kenneth Bodin; Claude Lacoursière; Martin Servin


Archive | 2008

Visual Simulation of Machine Concepts for Forest Biomass Harvesting

Martin Servin; Anders Backman; Kenneth Bodin; Urban Bergsten; Dan Bergström; Björn Löfgren; Tomas Nordfjell; Iwan Wästerlund


CHI 2009 Workshop, 5 April, Boston, USA | 2009

Using brain imaging to assess interaction in immersive VR

Daniel Sjölie; Kenneth Bodin; Johan Eriksson; Lars-Erik Janlert


NAFEMS NORDIC Conference: Engineering Simulation: Best #N#Practices, New Developments, Future Trends, 22 - 23 May 2012, Gothenburg, Sweden | 2012

Democratizing CAE with Interactive Multiphysics Simulation and Simulators

Anders Backman; Kenneth Bodin; Claude Lacoursière; Martin Servin

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