Search Results for author:
Found 3 papers, 1 papers with code
Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild
Models with video and acceleration inputs had similar performance regardless of training label modality, suggesting that it may be entirely appropriate to train models for laughter detection from body movements using video-acquired labels, despite their lower inter-rater agreement.
No-audio speaking status detection in crowded settings via visual pose-based filtering and wearable acceleration
Recognizing who is speaking in a crowded scene is a key challenge towards the understanding of the social interactions going on within.
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
Recording the dynamics of unscripted human interactions in the wild is challenging due to the delicate trade-offs between several factors: participant privacy, ecological validity, data fidelity, and logistical overheads.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
