Add to ORKGWe have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) data from the brain of human subjects to classify different levels of mental workload. Preliminary results show potential for fNIRS in human-computer interaction research
Due to the high cognitive demands of modern technology on operators, recent studies have focused on ...
Abstract — Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the Neu...
We present the first stage of our on-going artist-driven BCI collaboration, where we equipped an art...
Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable ...
We have applied functional near-infrared spectroscopy (fNIRS) to the human forehead to distinguish d...
Mental workload assessment is a critical aspect of human-computer interfaces. Mental workload which ...
We discuss some ideas for improving the discrimination of mental workloads by using correlation anal...
Introduction: Human computer interaction (HCI) is an interdisciplinary field that involves the study...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
Quantification of mental workload is a significant aspect of monitoring and adaptive aiding systems ...
We present a brain-computer interface (BCI) that detects, analyzes and responds to user cognitive st...
Passive brain-computer interfaces consider brain activity as an additional source of information, to...
This project represents a first step towards bridging the gap between HCI and cognition research. Us...
Functional near-infrared spectroscopy (fNIRS) is a versatile imagining modality whose popularity is...
International audienceAn improved understanding of how the brain allocates mental resources as a fun...
Due to the high cognitive demands of modern technology on operators, recent studies have focused on ...
Abstract — Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the Neu...
We present the first stage of our on-going artist-driven BCI collaboration, where we equipped an art...
Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable ...
We have applied functional near-infrared spectroscopy (fNIRS) to the human forehead to distinguish d...
Mental workload assessment is a critical aspect of human-computer interfaces. Mental workload which ...
We discuss some ideas for improving the discrimination of mental workloads by using correlation anal...
Introduction: Human computer interaction (HCI) is an interdisciplinary field that involves the study...
Gathering neuro-physiological data during user studies, and analysing the continuous data they produ...
Quantification of mental workload is a significant aspect of monitoring and adaptive aiding systems ...
We present a brain-computer interface (BCI) that detects, analyzes and responds to user cognitive st...
Passive brain-computer interfaces consider brain activity as an additional source of information, to...
This project represents a first step towards bridging the gap between HCI and cognition research. Us...
Functional near-infrared spectroscopy (fNIRS) is a versatile imagining modality whose popularity is...
International audienceAn improved understanding of how the brain allocates mental resources as a fun...
Due to the high cognitive demands of modern technology on operators, recent studies have focused on ...
Abstract — Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the Neu...
We present the first stage of our on-going artist-driven BCI collaboration, where we equipped an art...