… Given the portability and noninvasive measurement of the wearable fNIRS instrument used
in this study, the proposed WPCF algorithm may be applied to the home environment in the …

… feature fusion depression recognition method based on functional near-infrared spectroscopy
(fNIRS)… The 22-channel fNIRS device recorded the participants’ brain oxyhemoglobin (HbO…

… The results of this paper can be used in the future to design a multi-modal wearable
sensing system for classifying mental state for applications such as acute stress detection. …

… This paper presents an innovative wearable dual-modal system integrating wireless fNIRS
and EEG. … extraction, feature fusion, and the development of classification recognition models. …

… In this regard, we hypothesized that the size of a wearable fNIRS system could be minimized
while maintaining a high cognitive workload detection accuracy. The graphical abstract of …

… fNIRS data recorded from 10 healthy subjects. Conventional classifiers usually need some
preprocessing and feature … or manually extracting features and selecting the best features. An …

… ] used a wearable fNIRS head probe monitoring specific brain regions, and limiting extraction
to a few features (… Additionally, we performed simple feature fusion and machine learning …

… The fusion of both modality was performed based on concatenating the features of both
modality into a single feature vector. In this study, seven fNIRS channels were fused with seven …

… This study demonstrates the feasibility of hybridizing sEMG and fNIRS signals to improve the
… Scheme, ‘‘Feature extraction and selection for myoelectric control based on wearable EMG …

… spatial features, obtained by virtue of fusing EEG and fNIRS … In conclusion, hBCI (EEG +
fNIRS) system is not yet much … are expected using hybrid EEG-fNIRS-based BCI for gait to …