A multimodal machine learning framework fusing smartwatch audio and inertial sensing achieves macro F1 scores of 82% in lab and 77% in semi-naturalistic studies for detecting face-to-face conversations.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
The paper describes development of CapSenseBand, a knitted wristband for capacitive sensing, using paper models to support cross-disciplinary negotiation between textile and interaction design expertise.
citing papers explorer
-
Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing
A multimodal machine learning framework fusing smartwatch audio and inertial sensing achieves macro F1 scores of 82% in lab and 77% in semi-naturalistic studies for detecting face-to-face conversations.