Towards emotional interaction: using movies to automatically learn users’ emotional states

The HCI community is actively seeking novel methodologies to gain insight into the user's experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies' scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.info:eu-repo/semantics/publishedVersio

Hibbing Taconite Company

aerial view, the Hibbing Taconite Co. iron ore processing plant, maintained by Cliffs Natural Resources, 8/25/2010Sparrows Point, MD 2021

Hibbing Taconite Company

aerial view, freight cars entering the processing plant at the Hibbing Taconite Co., situated in between the Hibbing Taconite Tailings Basin and the Hull-Rust-Mahoning open pit iron mine, 8/25/2010Sparrows Point, MD 2021