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1 Ergebnisse
1
Hybrid System for Engagement Recognition During Cognitive T..:
Fadilla Zennifa
;
Sho Ageno
;
Shota Hatano
.
State-of-the-Art Sensors Technologies. , 2018
Link:
https://doi.org/10.3390/s18113691
RT Journal T1
Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_1424-8220_18_11_3691_&Exemplar=1&LAN=DE A1 Fadilla Zennifa A1 Sho Ageno A1 Shota Hatano A1 Keiji Iramina PB Multidisciplinary Digital Publishing Institute YR 2018 K1 electroencephalography K1 electrocardiography K1 electrooculography K1 eye tracking K1 near-infrared spectroscopy K1 engagement recognition K1 KNN K1 CFS K1 hybrid system K1 sensor JF State-of-the-Art Sensors Technologies LK http://dx.doi.org/https://doi.org/10.3390/s18113691 DO https://doi.org/10.3390/s18113691 SF ELIB - SuUB Bremen
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