We have applied functional near-infrared spectroscopy (fNIRS) to the human forehead to distinguish different levels of mental workload on the basis of hemodynamic changes occurring in the prefrontal cortex. We report data on 3 subjects from a protocol involving 3 mental workload levels based on to worki
Recent work has demonstrated that functional Near-Infrared Spectroscopy has the potential to measure...
The motivation behind using physiological measures to estimate cognitive activity is typically to bu...
Significant progress has been made over the last decade in understanding the physiological and neura...
We have applied functional near-infrared spectroscopy (fNIRS) to the human forehead to distinguish d...
We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) da...
International audienceAn improved understanding of how the brain allocates mental resources as a fun...
Quantification of mental workload is a significant aspect of monitoring and adaptive aiding systems ...
Mental workload assessment is a critical aspect of human-computer interfaces. Mental workload which ...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
Functional near-infrared spectroscopy (fNIRS) is a versatile imagining modality whose popularity is...
Functional near infrared spectroscopy (fNIRS) is increasingly used for investigating cognitive proce...
Due to the high cognitive demands of modern technology on operators, recent studies have focused on ...
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows the non-...
© 2015 IEEE.Functional near infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique...
Flying an aircraft puts high cognitive demands on the pilot. If the demands exceed the pilot’s cogni...
Recent work has demonstrated that functional Near-Infrared Spectroscopy has the potential to measure...
The motivation behind using physiological measures to estimate cognitive activity is typically to bu...
Significant progress has been made over the last decade in understanding the physiological and neura...
We have applied functional near-infrared spectroscopy (fNIRS) to the human forehead to distinguish d...
We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) da...
International audienceAn improved understanding of how the brain allocates mental resources as a fun...
Quantification of mental workload is a significant aspect of monitoring and adaptive aiding systems ...
Mental workload assessment is a critical aspect of human-computer interfaces. Mental workload which ...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
Functional near-infrared spectroscopy (fNIRS) is a versatile imagining modality whose popularity is...
Functional near infrared spectroscopy (fNIRS) is increasingly used for investigating cognitive proce...
Due to the high cognitive demands of modern technology on operators, recent studies have focused on ...
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows the non-...
© 2015 IEEE.Functional near infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique...
Flying an aircraft puts high cognitive demands on the pilot. If the demands exceed the pilot’s cogni...
Recent work has demonstrated that functional Near-Infrared Spectroscopy has the potential to measure...
The motivation behind using physiological measures to estimate cognitive activity is typically to bu...
Significant progress has been made over the last decade in understanding the physiological and neura...