Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2014
DOI: 10.1145/2556288.2557027
|View full text |Cite
|
Sign up to set email alerts
|

Is motion capture-based biomechanical simulation valid for HCI studies?

Abstract: Motion-capture-based biomechanical simulation is a noninvasive analysis method that yields a rich description of posture, joint, and muscle activity in human movement. The method is presently gaining ground in sports, medicine, and industrial ergonomics, but it also bears great potential for studies in HCI where the physical ergonomics of a design is important. To make the method more broadly accessible, we study its predictive validity for movements and users typical to studies in HCI. We discuss the sources … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
19
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
2
2
2

Relationship

1
5

Authors

Journals

citations
Cited by 27 publications
(19 citation statements)
references
References 22 publications
0
19
0
Order By: Relevance
“…In smartphone conditions amplitudes were shorter than marker error limits, limiting the applicability of the full-body simulation. Because biomechanical simulation has limited validity for small-scale movements [1], only 10 users participated in the two smartphone conditions in addition to the other ones. The remaining 30 participated in all other conditions except the smartphone conditions.…”
Section: Experimental Designmentioning
confidence: 99%
See 4 more Smart Citations
“…In smartphone conditions amplitudes were shorter than marker error limits, limiting the applicability of the full-body simulation. Because biomechanical simulation has limited validity for small-scale movements [1], only 10 users participated in the two smartphone conditions in addition to the other ones. The remaining 30 participated in all other conditions except the smartphone conditions.…”
Section: Experimental Designmentioning
confidence: 99%
“…[1]). We clean marker data from occlusions, reflections, and other artifacts with a heuristic approach and Kalman smoothing.…”
Section: Preprocessingmentioning
confidence: 99%
See 3 more Smart Citations