• Keine Ergebnisse gefunden

Motion Capture Error Analysis

N/A
N/A
Protected

Academic year: 2022

Aktie "Motion Capture Error Analysis"

Copied!
2
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Motion Capture Error Analysis

The maximum error in the elevation angle analysis due to soft tissue displacement and motion capture data processing typically remained below 1°, see Error! Reference source not found..

Error estimation – wrist elevation angle 𝜽

𝒈

Model for maximum error estimation

sin ( 𝜃̂

𝑒

2 ) =

1

2

∙ 1.96 ∙ 𝜎

𝑑𝑤

𝑤

− 1.96 ∙ 𝜎

𝑤

With maximum angle error 𝜃

𝑒

, standard deviation of wrist width 𝜎

𝑑𝑤

, standard deviation of humeral length 𝜎

𝑤

, and mean humeral length ℓ

𝑤

.

Approximation for small angles via arc length:

1.96 ∙ 𝜎

𝑑𝑤

= 𝜃̂

𝑒

2𝜋 ∙ (2𝜋(ℓ

𝑤

− 1.96 ∙ 𝜎

𝑤

))

Estimation of maximum errors in wrist elevation angle calculation due to marker errors (marker reconstruction and soft tissue displacement, see Error! Reference source not found. and Error! Reference source not found.).

(2)

Motion capture errors – data processing

Motion capture errors due to data processing. Errors in wrist and elbow width (here, markers were placed on bony landmarks) correlate with residual errors in the motion capture data processing and errors due to marker reconstruction.

Motion capture errors – tissue displacement

Motion capture errors due to soft tissue displacement. Especially at the shoulder during arm elevation, soft tissue displacement correlates with changes in arm length, in particular the humeral length and shoulder-wrist distance.

Referenzen

ÄHNLICHE DOKUMENTE

Abstract The sensible and latent heat fluxes are obtained, using the modified Bowen ratio method (MBR) and Bowen ratiolEnergy balance method (BREB) with the data

In an error analysis done in [Fazel-Rezai, 2007], it was shown that there is human error in generating false P300 due to adjacency of character in the matrix-based

After the initial setup, fsck perfoma successive phases over each file system, checkinq blocks and sizes, path-names, connectivity, reference counts, and the

l1J that received th~f!rror records. At the bottom of the report, the alphabetic identifiers for all of the CPUs covered by the report are given with their model and serial

Error rates and response times of correct responses were subjected to two-way analy- ses of variance (ANOVAs) with repeated measurement on the variables congruency

Consequently, including the large geoid omission errors associated with smaller scales in a box inverse model of the Southern Ocean increases the posterior errors of transport

In this paper, EMA data is processed from a motion-capture perspective and applied to the visualization of an existing mul- timodal corpus of articulatory data, creating a kinematic

Test Data Browser and Word Explorer serve for examin- ing individual sentences or words, the Error Summary page gives the user a global view of the dataset, providing a table with