A generalizable orientation-invariant framework for eating episode detection from wrist accelerometers with an acc2gyro module for acc-only settings, externally validated on CAD, Capture-24, and Physio-ED datasets with F1 scores of 0.751, 0.592, and 0.793.
A scoping review of sensor-based capture of eating and drinking occasions that could be used for enhancing personalized nutrition interventions in real-time,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Generalizable framework of eating episode detection on free-living wrist-worn wearable data
A generalizable orientation-invariant framework for eating episode detection from wrist accelerometers with an acc2gyro module for acc-only settings, externally validated on CAD, Capture-24, and Physio-ED datasets with F1 scores of 0.751, 0.592, and 0.793.