Facial Expression and Touch gesture Emotion (FETE) 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:'The FETE dataset comprises facial expressions and touch gestures to fully utilize the interactive information from the two modalities during HRI. The dataset is organized into ten folders, where each folder corresponds to a participant. Each folder comprises three levels of subfolders, from shallow to deep, they are named after the six types of emotions, five trials (per emotion), and two modalities (per trial), respectively. The two innermost folders contain the facial-expression data and touch-gesture data' . 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" : ["Signal Processing","Deep Learning","Human-robot interaction","Multi-modal"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The FETE dataset comprises facial expressions and touch gestures to fully utilize the interactive information from the two modalities during HRI. The dataset is organized into ten folders, where each folder corresponds to a participant. Each folder comprises three levels of subfolders, from shallow to deep, they are named after the six types of emotions, five trials (per emotion), and two modalities (per trial), respectively. The two innermost folders contain the facial-expression data and touch-gesture data' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The FETE dataset comprises facial expressions and touch gestures to fully utilize the interactive information from the two modalities during HRI. The dataset is organized into ten folders, where each folder corresponds to a participant. Each folder comprises three levels of subfolders, from shallow to deep, they are named after the six types of emotions, five trials (per emotion), and two modalities (per trial), respectively. The two innermost folders contain the facial-expression data and touch-gesture data
Signal Processing; Deep Learning; Human-robot interaction; Multi-modal