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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 49  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMCJ, MICT
(Joint)
2024-03-15
10:30
Shimane   A Study on Estimation for Chronic Stress using Heart Rate Variability
Takashi Sudo (Toshiba) MICT2023-78
This research goal is to early detect white collar workers’ mental disorder. In this paper, I propose improvement in chr... [more] MICT2023-78
pp.6-11
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Enhancing Dysarthric Speech Recognition with Auxiliary Feature Fusion Module: Exploring Articulatory-related Features from Foundation Models
Yuqin Lin, Longbiao Wang, Jianwu Dang (Tianjin Univ. & Univ. of Tokyo), Nobuaki Minematsu (Univ. of Tokyo) NLC2023-19 SP2023-39
Addressing dysarthric speech variability in Automatic Speech Recognition (ASR) is crucial for improving human-computer i... [more] NLC2023-19 SP2023-39
pp.31-36
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS 2023-10-27
16:00
Hokkaido   A Study on Heart Rate Monitoring via Smartwatches for Estimating Self-Compassion
Kota Ijichi, Ari Hautasaari, Takeshi Naemura (UTokyo) MVE2023-30
The measurement of self-compassion, which reflects one's compassion towards oneself, is usually achieved using a questio... [more] MVE2023-30
pp.46-51
MBE, MICT, IEE-MBE [detail] 2023-01-17
15:55
Saga   Relationship between difficulty scores and objective stress measures based on heart rate variability analysis in newly graduated nurses with end-of-life care for cancer patients
Sora Kanefusa, Tetsuya Watanabe, Sayuri Sakai (Niigata Univ.), Akitoshi Asano (Niigata Cancer Center Hosp.) MICT2022-54 MBE2022-54
Nursing in the End-of-life care of cancer patients causes a great deal of stress to the nurses, which is feared to lead ... [more] MICT2022-54 MBE2022-54
pp.46-47
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
10:55
Online Online (Zoom) Estimation of human preferences during image observation using heart rate and brain functions
Koki Buyo, Kazuki Maeda, Yuukou Horita (Univ. of Toyama) IMQ2021-39 IE2021-101 MVE2021-68
In order to estimate subjective evaluation values from digital contents such as still images and video, the degree of co... [more] IMQ2021-39 IE2021-101 MVE2021-68
pp.155-158
MBE, NC
(Joint)
2022-03-04
09:30
Online Online Classification and discriminability of heart rate variability indices in monkeys and humans using machine learning
Itaru Kaneko, Daisuke Hirahara (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.), Emi Yuda (Tohoku Univ.) MBE2021-100
In the field of biometrics, the use of physical characteristics to identify individuals has become a familiar technology... [more] MBE2021-100
p.55
MBE, NC
(Joint)
2022-03-04
09:55
Online Online Comparison of Heart Rate Variability Indices in Humans by Long Time Analysis of Ambulatory Cardiac Bio-signals
Emi Yuda, Yutaka Yoshida (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.), Itaru Kaneko (Tohoku Univ.) MBE2021-101
Human physiological activities are controlled by circadian rhythms, which have a period of about 24 hours. Circadian rhy... [more] MBE2021-101
p.56
IMQ, HIP 2021-07-09
14:35
Online Online Consideration of the relationship between heart rate variability analysis and human preference using CNN
Koki Buyo, Shuhei Kishida, Yuuko Horita (Univ. of Toyama) IMQ2021-2 HIP2021-17
In order to provide products and services that are optimized to the values of each consumer, biometric information such ... [more] IMQ2021-2 HIP2021-17
pp.1-4
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
BioX, CNR 2020-03-05
15:15
Tokyo
(Cancelled but technical report was issued)
Evaluation of concentration and stress state using Electroencephalogram and heart rate variability
Yuya Takahashi (SIT), Makoto Komazawa (WIN), Midori Sugaya (SIT) BioX2019-75 CNR2019-58
(To be available after the conference date) [more] BioX2019-75 CNR2019-58
pp.75-80
MBE, NC 2019-10-11
14:45
Miyagi   Evaluation of concentrating state using EEG and heart rate variability
Yuya Takahashi (SIT), Makoto Komazawa (WINFrontier/SIT), Midori Sugaya (SIT) MBE2019-32 NC2019-23
In recent years, studies that read the emotions and concentration state from biological signals such as brain waves and ... [more] MBE2019-32 NC2019-23
pp.19-21
SDM 2018-10-18
14:00
Miyagi Niche, Tohoku Univ. Statistical Analysis of Electric Characteristics Variability Using MOSFETs with Asymmetric Source and Drain
Shinya Ichino, Akinobu Teramoto, Rihito Kuroda, Takezo Mawaki, Tomoyuki Suwa, Shigetoshi Sugawa (Tohoku Univ.) SDM2018-62
In this paper, a statistical analysis of electric characteristics variabilities such as threshold voltage variability an... [more] SDM2018-62
pp.51-56
SDM, ICD, ITE-IST [detail] 2018-08-08
09:45
Hokkaido Hokkaido Univ., Graduate School of IST M Bldg., M151 Understanding Temperature Effect on Subthreshold Slope Variability in Bulk and SOTB MOSFETs
Shuang Gao, Tomoko Mizutani, Kiyoshi Takeuchi, Masaharu Kobayashi, Toshiro Hiramoto (Univ. Tokyo) SDM2018-37 ICD2018-24
We present a new finding that subthreshold slope (SS) variability is reduced at high temperature in both bulk and silico... [more] SDM2018-37 ICD2018-24
pp.65-70
VLD, HWS
(Joint)
2018-03-01
13:00
Okinawa Okinawa Seinen Kaikan An Evaluation of Graph Reduction Technique for Delay Insertion of General-Synchronous Circuit
Yuki Arai, Shuji Tsukiyama (Chuo Univ.) VLD2017-110
In general-synchronous framework, the clock signal is distributed to each register in optimal individual timing, so that... [more] VLD2017-110
pp.127-132
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
15:45
Hokkaido Hokkaido Univ. A Note on Estimation of Users' Emotion Evoked During Listening to Music -- Performance Improvement Based on Deep Learning Method --
Hakusyou Dan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method that estimates users’ emotion evoked during listening to music. In our method, we use audio... [more]
MVE, IE, CQ, IMQ
(Joint) [detail]
2017-03-06
14:15
Fukuoka Kyusyu Univ. Ohashi Campus Effect of high dynamic range on mental and physical workloads during contents viewing
Kiyomi Sakamoto, Yutaka Tanaka (Panasonic), Kuniko Yamashita, Akira Okada (Osaka City Univ.) IMQ2016-32 IE2016-147 MVE2016-55
We experimentally evaluated the effect of high dynamic range on mental and physical workloads during contents viewing, i... [more] IMQ2016-32 IE2016-147 MVE2016-55
pp.69-74
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
11:15
Hokkaido Hokkaido Univ. Estimation of psychophysiological state during HDR contents viewing
Kiyomi Sakamoto, Yutaka Tanaka (Panasonic), Kuniko Yamashita, Akira Okada (Osaka City Univ.)
We experimentally estimated of psychophysiological state during high and standard dynamic ranges contents viewing on a 5... [more]
MBE 2017-01-28
14:10
Fukuoka Kyushu University Autonomic Nervous Activity Estimation for Daily Life using Estimated Respiratory Feature Derived from Heart Rate Variability features
Kana Eguchi, Ryosuke Aoki, Kazuhiro Yoshida, Tomohiro Yamada (NTT) MBE2016-80
Heart Rate Variability (HRV) features are majorly used for indirect measurement of autonomic nervous activity. However, ... [more] MBE2016-80
pp.57-62
PRMU, IPSJ-CVIM, MVE [detail] 2017-01-19
18:35
Kyoto   Reliability Evaluation of R-R Interval Measurement Status using the Electric Potential Characteristics of QRS Complex for Wearable ECG Devices
Kana Eguchi, Ryosuke Aoki, Kazuhiro Yoshida, Tomohiro Yamada (NTT) PRMU2016-140 MVE2016-31
Electrocardiogram (ECG) captured by wearable ECG devices easily contains artifact because of the measurement faults. Sin... [more] PRMU2016-140 MVE2016-31
pp.171-176
EA, ASJ-H 2016-08-10
10:00
Miyagi Tohoku Gakuin Univ., Tagajo Campus The Methods to Denoize the Fetal Heart Doppler Sound Obtained by Ultrasound Cardiograph Using Wavelet Analysis
Chikahiro Araki (Univ. of Fukui), Mikio Mori, Tatsuya Asai, Chiyo Tamamura, Nozomu Takahashi, Kouji Nishijima, Yoshio Yoshida (niv. of Fukui)
The technique of analyzing Fetal Heart Rate (FHR) variability has been known to be effective to diagnose the fetal healt... [more] EA2016-25
pp.31-36
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