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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Motion Classification of Cleaning Tasks by Machine Learning Using Short-Time Motion and Biometric Data
Yuya Itagaki, Kazuki Maeda, Yuya Okazaki, Yuko Horita (Univ of Toyama)
Moderate exercise is considered to be one of the most important factors for health promotion, and cleaning work is attra... [more]
IMQ, HIP 2022-07-08
14:00
Hokkaido Satellite Campus, Sapporo City University Investigation of features using cluster analysis in estimating subjective fatigue while walking
Yuya Okazaki, Yuya Itagaki, Yuukou Horita (Univ.of Toyama) IMQ2022-6 HIP2022-37
In recent years, attention has been focused on the construction of evaluation indices and estimation models that express... [more] IMQ2022-6 HIP2022-37
pp.11-14
IMQ 2020-12-18
09:40
Online Online Investigation of the relationship between heart rate variability spectrogram and human preference using CNN
Shuhei Kishida, Yohei Ochiai, Koki Buyo, Yuya Okazaki, Yuuko Horita (Univ. of Toyama) IMQ2020-8
In order to provide products and services optimized for each user, biological signals such as heart rate variability and... [more] IMQ2020-8
pp.5-8
IMQ 2020-12-18
10:05
Online Online Investigation of Relationship between cerebral blood flow and human preference during image viewing using deep learning
Yohei Ochiai, Shuhei Kishida, Koki Buyo, Yuya Okazaki, Yuuko Horita (Univ. of Toyama) IMQ2020-9
In recent years, the evaluation of Quality of Experience (QoE), which shows user experience quality, has attracted atten... [more] IMQ2020-9
pp.9-12
HPB
(2nd)
2014-02-28
13:25
Tokyo The University of Tokyo (Komaba II) Predicting dangerous situation in smartphone usage during walking based on recent movement history
Tsubasa Saeki, Yuya Okazaki, Shigeki Hosokawa, Kaori Fujinami (TUAT)
A number of traffic accidents have been reported when people are crossing streets and railways during smartphone usage. ... [more]
 Results 1 - 5 of 5  /   
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