Personal Stress-Level Clustering and Decision-Level Smoothing to Enhance the Performance of Ambulatory Stress Detection With Smartwatches

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@article{e4fa4418307f4205b08274009c2934cb,

title = "Personal Stress-Level Clustering and Decision-Level Smoothing to Enhance the Performance of Ambulatory Stress Detection With Smartwatches",

author = "Can, \{Yekta Said\} and Niaz Chalabianloo and Deniz Ekiz and Javier Fernandez-Alvarez and Giuseppe Riva and Cem Ersoy",

year = "2020",

doi = "10.1109/ACCESS.2020.2975351",

language = "English",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "IEEE",

}

TY - JOUR

T1 - Personal Stress-Level Clustering and Decision-Level Smoothing to Enhance the Performance of Ambulatory Stress Detection With Smartwatches

AU - Can, Yekta Said

AU - Chalabianloo, Niaz

AU - Ekiz, Deniz

AU - Fernandez-Alvarez, Javier

AU - Riva, Giuseppe

AU - Ersoy, Cem

PY - 2020

Y1 - 2020

UR - https://doi.org/10.1109/ACCESS.2020.2975351

U2 - 10.1109/ACCESS.2020.2975351

DO - 10.1109/ACCESS.2020.2975351

M3 - Article

SN - 2169-3536

JO - IEEE Access

JF - IEEE Access

ER -