In the overlap between Human-Computer Interaction (HCI) and Cinematics, sits an interest in physiological responses to experiences. Focusing particularly on brain data, Neurocinematics has emerged as a research field using Brain-Computer Interface (BCI) sensors. Where previous work found inter subject correlations (ISC) between brain measurements of people watching movies in constrained conditions using functional magnetic resonance imaging (fMRI), we seek to examine similar responses in more naturalistic settings using functional Near Infrared Spectroscopy (fNIRS). fNIRS has been shown to be highly suitable for HCI studies, being more portable than fMRI and more tolerant of many natural movements than Electroencephalography (EEG). Early re...
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows the non-...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
This work serves as an initial investigation into improvements to classification accuracy of an imag...
In the overlap between Human-Computer Interaction (HCI) and Cinematics, sits an interest in physiolo...
Because functional near-infrared spectroscopy (fNIRS) eases many of the restrictions of other brain ...
Recent efforts have shown that functional near-infrared spectroscopy (fNIRS) has potential value for...
© 2016 SPIE. Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical technique for d...
User experience (UX) has become a key factor in interface design. Still, so far, no satisfying solut...
Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system originally d...
Most brain-computer interfaces (BCIs) currently under development use the brain's electrical signals...
Functional near-infrared spectroscopy (fNIRS) relies on near-infrared (NIR) light for changes in tis...
Functional Near Infrared Spectroscopy (fNIRS) is a relatively new neuroimagingtechnique adequate and...
Functional near-infrared spectroscopy (fNIRS) is an emerging wearable neuroimaging technique based o...
Recent efforts have shown that functional near-infrared spec-troscopy (fNIRS) has potential value fo...
Brain-Computer Interfaces (BCIs) are promising in advancing numerous applications. Although many fun...
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows the non-...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
This work serves as an initial investigation into improvements to classification accuracy of an imag...
In the overlap between Human-Computer Interaction (HCI) and Cinematics, sits an interest in physiolo...
Because functional near-infrared spectroscopy (fNIRS) eases many of the restrictions of other brain ...
Recent efforts have shown that functional near-infrared spectroscopy (fNIRS) has potential value for...
© 2016 SPIE. Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical technique for d...
User experience (UX) has become a key factor in interface design. Still, so far, no satisfying solut...
Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system originally d...
Most brain-computer interfaces (BCIs) currently under development use the brain's electrical signals...
Functional near-infrared spectroscopy (fNIRS) relies on near-infrared (NIR) light for changes in tis...
Functional Near Infrared Spectroscopy (fNIRS) is a relatively new neuroimagingtechnique adequate and...
Functional near-infrared spectroscopy (fNIRS) is an emerging wearable neuroimaging technique based o...
Recent efforts have shown that functional near-infrared spec-troscopy (fNIRS) has potential value fo...
Brain-Computer Interfaces (BCIs) are promising in advancing numerous applications. Although many fun...
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows the non-...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
This work serves as an initial investigation into improvements to classification accuracy of an imag...