Fundamentals of physiological computing
By Stephen H. Fairclough. Interacting with computers, 2009
622 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/881e41dbddf48155cb72969c0ee802f8d3cbba66
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Tzyy-Ping Jung
- Scott Makeig
- T. Mullen
- Christian Andreas Kothe
- A. Ojeda
- Georgios N. Yannakakis
- Michael Lippold
- Nikolaos Mavridis
Citations in the corpus
- Experience-Driven Procedural Content Generation (2011, background): “The combination between subjective and objective measures of player experience leads to the research areas of psychophysiology [76] in games [19], [32], [51], [77], [20] and affective gaming [4].”
- Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG (2015, positive): “time, we generated a 5-D VAR [3] system of coupled oscillators as described in [51, eq.”
- A review of verbal and non-verbal human-robot interactive communication (2014, background): “Finally, regarding physiological measurables, products such as Affec-tivas Q sensor [124], or techniques for measuring heart rate, breathing rate, galvanic skin response and more, could well become applicable to the human-robot affective interaction domain, of course under the caveats of [125].”
- Identifying emotional states using keystroke dynamics (2011, background): “For example, significant research has been conducted on measuring physiological changes that occur in the body during emotional episodes using sensors such as galvanic skin response, electromyography of the face, and heart activity (see [14] for an overview).”