Human-Human Commensality Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A novel audio-visual dataset capturing human social eating behaviors of groups of three people sharing a meal. It contains multi-view RGBD video and directional audio recordings of 30 sessions, totaling over 18 hours of multistream, multimodal recordings of 90 people, and provides the following data.ROS bags with topics: 4x mic audio, mixed audio, sound direction, per-participant RGBD, and scene RGBD.Raw data (extracted from ROS bags): scene audio, sound direction, per-participant videos, and scene videos.Processed data (extracted from raw data): per-participant speaking status, per-participant face and body keypoints from OpenPose, per-participant gaze, and head pose from RT-GENE, per-participant bite count, and per-participant times since the last bite lifted and since the last bite d' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Assistive Robotics","Group Dynamics","Human Behavior Modeling","Human-Robot Interaction","Multimodal Machine Learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A novel audio-visual dataset capturing human social eating behaviors of groups of three people sharing a meal. It contains multi-view RGBD video and directional audio recordings of 30 sessions, totaling over 18 hours of multistream, multimodal recordings of 90 people, and provides the following data.ROS bags with topics: 4x mic audio, mixed audio, sound direction, per-participant RGBD, and scene RGBD.Raw data (extracted from ROS bags): scene audio, sound direction, per-participant videos, and scene videos.Processed data (extracted from raw data): per-participant speaking status, per-participant face and body keypoints from OpenPose, per-participant gaze, and head pose from RT-GENE, per-participant bite count, and per-participant times since the last bite lifted and since the last bite d' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A novel audio-visual dataset capturing human social eating behaviors of groups of three people sharing a meal. It contains multi-view RGBD video and directional audio recordings of 30 sessions, totaling over 18 hours of multistream, multimodal recordings of 90 people, and provides the following data.ROS bags with topics: 4x mic audio, mixed audio, sound direction, per-participant RGBD, and scene RGBD.Raw data (extracted from ROS bags): scene audio, sound direction, per-participant videos, and scene videos.Processed data (extracted from raw data): per-participant speaking status, per-participant face and body keypoints from OpenPose, per-participant gaze, and head pose from RT-GENE, per-participant bite count, and per-participant times since the last bite lifted and since the last bite d
Assistive Robotics; Group Dynamics; Human Behavior Modeling; Human-Robot Interaction; Multimodal Machine Learning