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Found 15 papers, 3 papers with code
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild
In addition to providing the signals and ground truth necessary to evaluate a wide range of speaking status detection methods, the availability of audio in REWIND makes it suitable for cross-modality studies not feasible with previous mingling datasets.
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.
Conversation Group Detection With Spatio-Temporal Context
These affinity values are also continuous in time, since relationships and group membership do not occur instantaneously, even though the ground truths of group membership are binary.
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
In this work, we introduce and address the following question: given a probabilistic forecasting model how can we identify observed windows that the model considers salient when making its forecasts?
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.
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues
In this way, an SP model learns to adapt its forecasts to the unique dynamics of the interacting partners, generalizing to unseen groups in a data-efficient manner.
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility
We present ReproducedPapers. org: an open online repository for teaching and structuring machine learning reproducibility.
A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
A key challenge in the accurate prediction of viewers' emotional responses to video stimuli in real-world applications is accounting for person- and situation-specific variation.
A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
In this work, we propose a modular and cost-effective wireless approach for synchronized multisensor data acquisition of social human behavior.
Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework
Interactive reinforcement learning provides a way for agents to learn to solve tasks from evaluative feedback provided by a human user.
Detecting F-formations & Roles in Crowded Social Scenes with Wearables: Combining Proxemics & Dynamics using LSTMs
In this paper, we investigate the use of proxemics and dynamics for automatically identifying conversing groups, or so-called F-formations.
Towards automatic estimation of conversation floors within F-formations
We motivate a metric for the existence of distinct conversation floors based on simultaneous speaker turns, and provide an analysis using this metric to characterize conversations across F-formations of varying cardinality.
Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting
As well as fitting a more flexible model to missing labels in time, we posit that our approach also loosens the head and body coupling constraint, allowing for a more expressive model of the head and body pose typically seen during conversational interaction in groups.
Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups From Static Images
In this paper, we present the first attempt to analyse differing levels of social involvement in free standing conversing groups (or the so-called F-formations) from static images.
