The EMG+FMG band used for the experiment.

The EMG+FMG band used for the experiment.

<p>We employed 8 EMG sensors and 8 FMG sensors which were housed in 3D printed housings and placed in an alternating sequence on a Velcro strap. The sensors were positioned such that they could be spaced equidistantly around the participant’s forearm before the band was strapped to the arm.<...

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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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Description
Summary:<p>We employed 8 EMG sensors and 8 FMG sensors which were housed in 3D printed housings and placed in an alternating sequence on a Velcro strap. The sensors were positioned such that they could be spaced equidistantly around the participant’s forearm before the band was strapped to the arm.</p>

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