Inferring Segments of Speaking Intention Using a Body-worn Accelerometer: Enhancing social interaction with AI-powered systems

This research paper proposes a deep learning model to infer segments of speaking intentions using body language captured by a body-worn accelerometer. The objective of the study is to detect instances where individuals exhibit a desire to speak based on their body language cues. The labeling scheme employed is a binary string, with “0”...