The median of the classification accuracies from the constant position and varied grasped loads tests reported with the interquartile range and the standard deviation.

The median of the classification accuracies from the constant position and varied grasped loads tests reported with the interquartile range and the standard deviation.

<p>The median of the classification accuracies from the constant position and varied grasped loads tests reported with the interquartile range and the standard deviation.</p>

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Bibliographic Details
Main Author: Peyton R. Young (14021643) (author)
Other Authors: Kihun Hong (21072471) (author), Eden J. Winslow (21072474) (author), Giancarlo K. Sagastume (21072477) (author), Marcus A. Battraw (14021640) (author), Richard S. Whittle (21072480) (author), Jonathon S. Schofield (4062958) (author)
Published: 2025
Subjects:
Physiology
Biotechnology
Science Policy
Space Science
Biological Sciences not elsewhere classified
skin &# 8217
pattern recognition algorithms
misclassification errors caused
many modern technologies
identify specific patterns
bodied participants performed
axial forces present
augmented reality systems
assistive mechatronic devices
predict hand gestures
4 hand gestures
muscle electrical activity
34 %) followed
3 sensing modalities
statistically significant effects
object loading effects
highest classification accuracy
grasped load combinations
effective device control
combination </ p
grasped load
hand gesture
sensing modality
muscle contraction
device commands
27 %)
gesture classification
classification performance
well established
vital aspects
underlying muscles
technique suffers
surface created
research applications
release task
manipulated objects
limb movements
fused combination
force myography
daily life
84 %).
8 positions
27 able
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