EDA features alone achieve moderate subject-independent performance in distinguishing rest from aerobic exercise via standard ML models with LOSO validation on a public dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Electrodermal Activity as a Unimodal Signal for Aerobic Exercise Detection in Wearable Sensors
EDA features alone achieve moderate subject-independent performance in distinguishing rest from aerobic exercise via standard ML models with LOSO validation on a public dataset.