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Evaluation of the global optimisation method within the upper limb kinematics analysis

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Emmanuel Roux (LAMIH), Stéphane Bouilland, Anne-Pascale Godillon-Maquinghen (LAMIH), Denis Bouttens

Optimization and Control · Submitted 18 Jun 2009

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Results show a significant reduction of the errors and of the variability due to skin movement.

how it is stated · asserted 1.00 read the record →

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arXiv ID0906.3348 (version 1)
Pith ID2VQPFBCX, Pith's permanent record of this paper and its review
CitationAnne-Pascale Godillon-Maquinghen (LAMIH), Denis Bouttens, Emmanuel Roux (LAMIH), St\'ephane Bouilland. "Evaluation of the global optimisation method within the upper limb kinematics analysis." arXiv:0906.3348 (2009). https://pith.science/paper/2VQPFBCX
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,780 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.07 · human participants 0.19 · controlled comparison 0.13 · randomized assignment 0.01 · states quantitative result 0.08 · compares with prior results 0.16 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

The aim of this study is to assess the performances of the global optimisation (GO) method (Bone position estimation from skin marker co-ordinates using GO with joint constraints. Journal of Biomechanics 32, 129-134) within the upper limb kinematics analysis. First the model of the upper limb is presented. Then we apply GO method in order to reduce skin movement artefacts that imply relative movement between markers and bones. The performances of the method are then evaluated with the help of simulated movements of the upper limb. Results show a significant reduction of the errors and of the variability due to skin movement.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The aim of this study is to assess the performances of the global optimisation (GO) method (Bone position estimation from skin marker co-ordinates using GO with joint constraints. contribution 0.87 0.23 0.03 asserted 0.63
s1 Journal of Biomechanics 32, 129-134) within the upper limb kinematics analysis. background 0.78 0.08 0.02 unclear 0.88
s2 First the model of the upper limb is presented. method 0.98 0.56 0.01 asserted 0.59
s3 Then we apply GO method in order to reduce skin movement artefacts that imply relative movement between markers and bones. method 0.97 0.87 0.04 asserted 0.88
s4 The performances of the method are then evaluated with the help of simulated movements of the upper limb. method 0.99 0.87 0.03 asserted 0.70
s5 Results show a significant reduction of the errors and of the variability due to skin movement. result 1.00 0.94 0.91 asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.92 · evidence from simulation or computation 1.00.

What was examined, and what was not

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  • figures and tables
  • references and citing sentences
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  • P abstract
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The aim of this study is to assess the performances of the global optimisation (GO) method (Bone position estimation from skin marker co-ordinates using GO with joint constraints. Journal of Biomechanics 32, 129-134) within the upper limb kinematics analysis. First the model of the upper limb is presented. Then we apply GO method in order to reduce skin movement artefacts that imply relative movement between markers and bones. The performances of the method are then evaluated with the help of simulated movements of the upper limb. Results show a significant reduction of the errors and of the variability due to skin movement.

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