AQUASET (Affective Physiological QUAlity-of-Experience Streaming service dataSET)

AQUASET is a multimodal dataset designed for Quality of Experience (QoE) estimation in video streaming using affective computing. The dataset combines objective video-streaming parameters, subjective QoE assessments, physiological signals, and facial expression features collected during controlled video-streaming experiments.

The dataset was collected from participants exposed to different dynamic video-quality variations representative of adaptive video streaming scenarios, enabling the analysis of the relationship between perceived video quality and users' physiological and affective responses.

AQUASET is intended to support research on QoE estimation, affective computing, physiological signal analysis, machine learning, and intelligent resource management for video streaming services.