30988 research outputs found
Sort by
Sairaanhoitajan ammatti-identiteetti: Professional Identity in Nursing Scale PINS 3.0 -mittarin validointi ja kyselytutkimus Suomessa
No full textScots pine (Pinus sylvestris L.) thinning wood as raw material for the wood products industry
No full textBring Your Own Device Approach in Namibian Basic Education : A Behavioural Analysis of Students’ and Teachers’ Intentions in Mathematics Education
No full textVR-haptics in crown preparation training: effects on fine motor skills and students well-being
No full textThe Reform of the Finnish Court Fees Act – Were the Societal Functions of the Administrative Courts and Access to Justice Jeopardized?
No full textFinland implemented a reform of court fees in 2015 (1455/2015), almost doubling the costs of certain proceedings and assigning fees to others that were previously free of charge. The objectives of the reform were to increase legal certainty, improve the cost coverage of fees, reduce the manifestly unjustified use of court services, ensure a reasonable relationship between court fees and the costs of different court proceedings, and achieve a simpler and clearer court fee system. An impact assessment of the reform was performed in 2022–2023, and it confirmed that the objectives had largely been met. However, the reform had an unforeseen negative effect: the societal functions of the courts were no longer being fulfilled adequately, jeopardizing everyone’s right to a fair trial, more precisely the right of access to court, as guaranteed by Article 6 of the European Human Rights Convention
Deglycosylation as a Tool for Analysing the Structure of Unspecific Peroxygenase and Cat Allergen
No full text
Quasiregular mappings between equiregular sub‐Riemannian manifolds
No full textIn this paper, we provide an alternative approach to an expectation of F¨assler et al [J. Geom. Anal. 2016] by showing that a metrically quasiregular mapping between two equiregular subRiemannian manifolds of homogeneous dimension Q ≥ 2 has a negligible branch set. One main new ingredient is to develop a suitable extension of the generalized Pansu differentiability theory, in spirit of earlier works by Margulis-Mostow, Karmanova and Vodopyanov. Another new ingredient is to apply the theory of Sobolev spaces based on upper gradients developed by Heinonen, Koskela, Shanmugalingam and Tyson to establish the necessary analytic foundations
Musculoskeletal Inverse Kinematics Tool for Inertial Motion Capture Data Based on the Adaptive Unscented Kalman Smoother: An Implementation for OpenSim
No full textPurpose
Conventional tools for human kinematics estimation presume that observations are subject to uncorrelated, zero-mean Gaussian noise, and they provide no estimate for the uncertainty of their solutions. This paper presents AUKSMIKT—a tool for whole-body kinematics estimation in the Bayesian framework to account for these shortcomings.
Methods
We implemented AUKSMIKT as a C++ class that extends the OpenSim (v4.5) application programming interface. AUKSMIKT is based on the unscented Kalman filter combined with a run-time estimator of process and observation noises, and a fixed-lag Rauch-Tung-Striebel smoother. We tested the performance of AUKSMIKT using data from a public dataset consisting of both optical and inertial motion capture data recorded from overground walking subjects. We computed the mean absolute errors of estimated angular positions, velocities, and accelerations with respect to the gold standard optical motion capture estimates, and compared these metrics to those obtained from the least squares estimation-based tool native to OpenSim.
Results
AUKSMIKT produced smaller errors than the native tool for the angular position of three joints (0.8–1.9%), the velocities of six joints (0.7-
7.6%), and the accelerations of seven joints (3.0–13.7%). AUKSMIKT produced larger errors in the angular positions of five joints (1.3–7.6%), and the velocities of three joints (4.4–8.3%).
Conclusion
With respect to the optical motion capture solution, AUKSMIKT can estimate lower-body kinematics from inertial motion capture data with comparable or higher accuracy than the native OpenSim least squares estimator