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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 70  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI, IPSJ-UBI, IPSJ-MBL 2023-03-01
10:40
Aichi
(Primary: On-site, Secondary: Online)
Classification of human posture from 3D point-cloud data in office environment
Junpei Watanabe, Ryoichi Shinkuma, Gabriele Trovato (SIT) SeMI2022-110
This report presents an edge computing system that can classify people’s postures in an office using
a Light Detection ... [more]
SeMI2022-110
pp.19-24
LOIS, IPSJ-DC 2022-07-07
14:55
Online Online 3s2sub: A Proposal of Data Segmentation Scheme for Fall Detection by Smartphone Built-in Accelerator
Pengyu Guo, Masaya Nakayama (Uni.Tokyo) LOIS2022-7
A Fall is defined as an event which results in a person coming to rest inadvertently on the ground or floor or other low... [more] LOIS2022-7
pp.18-23
SIS 2020-12-01
10:50
Online Online A study of anomalous sound detection using sound activity detection
Yasuhiro Kanishima, Takashi Sudo (Toshiba) SIS2020-29
In anomalous sound detection that determines the operation of the device or the quality of the product based on the soun... [more] SIS2020-29
pp.12-17
SRW, SeMI, CNR
(Joint)
2020-11-27
10:20
Online Online Detection of human activity based on hybrid deep learning model using a low-resolution infrared array sensor.
Muthukumar K A, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2020-39
Artificial Intelligence (AI) plays a significant role in the healthcare industry. Many applications have been developed ... [more] SeMI2020-39
pp.99-104
EA, US
(Joint)
2020-01-22
14:00
Kyoto Doshisha Univ. [Poster Presentation] Speech features obtained from similarities between the input and output of a DNN-based VAD.
Nozomi Shigaraki, Kei Yamamori (Kanazawa Univ.), Suci Dwijayanti (Sriwijaya Univ.), Masato Miyoshi (Kanazawa Univ.) EA2019-95
We have been studying Voice activity detection (VAD) using a deep neural network (DNN). Log power spectra (LPS) and Spee... [more] EA2019-95
pp.67-72
ET 2019-11-09
16:05
Hiroshima Hiroshima City University Objective Detection of Children with Attention-deficit/Hyperactivity Disorder Tendency based on Motor Control Function Evaluation Experiment
Kyota Aoki (Utsunomiya Univ.), Yoshio Fukuda (Kanumanisi elementary school), Kohji Harada (Utsunomiya Univ.), Shinjiro Murayama (Tsukuba Univ.) ET2019-56
This report shows the possibility of objective evaluation of the degree of attention-deficit/hyperactivity disorder usin... [more] ET2019-56
pp.49-54
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Voice activity detection under high levels of noise using gated convolutional neural networks
Li Li, Koshino Yuki, Matsumoto Mitsuo, Makino Shoji (Univ. Tsukuba) EA2018-102 SIP2018-108 SP2018-64
This paper deals with voice activity detection (VAD) tasks under high-level noise environments where signal-to-noise rat... [more] EA2018-102 SIP2018-108 SP2018-64
pp.19-24
ASN, MoNA, IPSJ-MBL, IPSJ-UBI [detail] 2019-03-05
10:55
Tokyo The University of Tokyo, Komaba Campus [Invited Lecture] Trend of Research on e-Health and Smart Home in Globecom2018
Kohei Yamamoto, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.) MoNA2018-75
In this presentation, the trend of research on e-Health and Smart Home in Globecom 2018 is reported. [more] MoNA2018-75
pp.71-76
ASN, SRW
(Joint)
2018-11-05
13:00
Tokyo Tokyo Denki University, Tokyo Senju Campus [Poster Presentation] Activity Recognition and Fall Detection System for the Elderly Using RFID Tags with Sensing Capability
Koichi Toda, Norihiko Shinomiya (Soka Univ.) ASN2018-57 SRW2018-22
Japan has the higher proportion of the elderly than any other country in the world. Even though the aged population is i... [more] ASN2018-57 SRW2018-22
pp.31-34(ASN), pp.7-10(SRW)
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] 2018-07-26
11:45
Hokkaido Sapporo Convention Center Real-time Botnet Detection Using Nonnegative Tucker Decomposition
Hideaki Kanehara, Yuma Murakami (Waseda Univ.), Jumpei Shimamura (Clwit), Takeshi Takahashi (NICT), Noboru Murata (Waseda Univ.), Daisuke Inoue (NICT) ISEC2018-38 SITE2018-30 HWS2018-35 ICSS2018-41 EMM2018-37
This study focuses on darknet traffic analysis and applies tensor factorization in order to detect coordinated group act... [more] ISEC2018-38 SITE2018-30 HWS2018-35 ICSS2018-41 EMM2018-37
pp.297-304
MBE, NC
(Joint)
2018-05-19
13:00
Toyama Univ. of Toyama Analysis of Pulse Wave Obtained by Wristband Activity Monitor for Estimation of Anxiety State
Sota nakamura, Yuma Kobayashi (Toyama Pref. Univ.), Masahiro Saiko, Hitoshi Imaoka (NEC), Hironobu Takano (Toyama Pref. Univ.) MBE2018-1
Cancer notice from a doctor changes the prospect for patient’s future fundamentally and negatively. As a result, the can... [more] MBE2018-1
pp.1-6
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Adaptive beat noise estimation for FM radio in motor vehicle
Kosuke Hasada, Arata Kawamura, Youji Iiguni (Osaka Univ.) EA2017-155 SIP2017-164 SP2017-138
In FM-radio on motor vehicles, there exists an interference called as a beat noise which is caused by electric control u... [more] EA2017-155 SIP2017-164 SP2017-138
pp.291-296
ICSS, IPSJ-SPT 2018-03-07
13:00
Hokkaido Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center A Study on Malware Activity Detection Based on Real-time Analysis of Darknet Data Using Graphical Lasso
Chansu Han (Kyushu Univ.), Jumpei Shimamura (Clwit Inc.), Takeshi Takahashi, Daisuke Inoue (NICT), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.), Koji Nakao (NICT) ICSS2017-51
In this study, we considered a method to detect malignant activity (especially botnet) in cyber space automatically and ... [more] ICSS2017-51
pp.1-6
ICSS, IPSJ-SPT 2018-03-07
15:40
Hokkaido Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center A Preliminary Study on Defining Malignant Activity by Linking in-System Elements
Takuya Koike (IISEC), Miyuu Okubo (IRI), Hidenori Tsuji, Masaki Hashimoto (IISEC) ICSS2017-60
In recent years, cyber-attacks have become large-scale and complicated, and the impact on society continues to become in... [more] ICSS2017-60
pp.55-60
LOIS 2018-03-02
13:00
Okinawa Naha-City IT Souzoukan(Okinawa) Implementation and Evaluation of Elderly Context Notification Service using Activity Recognition based on Environmental Changes
Kazunari Tamamizu, Seiji Sakakibara, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (Chiba Rosai Hospital) LOIS2017-86
The ICT-based elderly monitoring systems attract great attention as a promising technology for home elderly care. Howeve... [more] LOIS2017-86
pp.87-92
IA 2017-11-15
16:30
Overseas KMITL, Bangkok, Thailand [Poster Presentation] Implementation of Recognizing Indoor Activities Using Cloud Service for Machine Learning
Kazunari Tamamizu, Seiji Sakakibara, Sachio Saiki, Masahide Nakamura (Kobe University), Kiyoshi Yasuda (Chiba Rosai Hospital) IA2017-41
Online changing point detection of activities is needed to achieve automatically monitoring service for home elderly. In... [more] IA2017-41
pp.49-52
WIT, SP 2017-10-20
11:30
Fukuoka Tobata Library of Kyutech (Kitakyushu) Machine Learning Approach to Recognizing Indoor Activities based on Environment Sensing and Activity Logs on Changing Points
Kazunari Tamamizu, Seiji Sakakibara, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (Chiba Rosai Hospital) SP2017-52 WIT2017-48
The ICT-based elderly monitoring systems attract great attention as a promising technology for home elderly care. Howeve... [more] SP2017-52 WIT2017-48
pp.101-106
PRMU, BioX 2017-03-21
11:05
Aichi   Co-Activity Detection from Multiple Videos Using Foreground Motion and Background Appearance
Keisuke Kawamura, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2016-58 PRMU2016-221
Today, there are a lot of videos annotated with text tags on the Internet. Although these tags coarsely represent the co... [more] BioX2016-58 PRMU2016-221
pp.149-154
ICM, LOIS 2017-01-19
13:25
Nagasaki The Nagasaki Chamber of Commerce & Industry Capturing Activities of Daily Living for Elderly at Home based on Environment Change and Speech Dialog
Kazunari Tamamizu, Seiji Sakakibara, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (Chiba rosai Hospital) ICM2016-40 LOIS2016-49
The ICT-based elderly monitoring systems attract great attention as a promising technology for home elderly care. Howeve... [more] ICM2016-40 LOIS2016-49
pp.7-12
ET 2016-12-10
13:45
Osaka Kindai University Reading Position Detection using Reading Aloud Voice including Misreadings and Noises -- Reading Activity Understanding in Japanese Text Presentation System --
Shu Aoki, Shuichi Tashiro, Kyota Aoki, Koji Harada (Utsunomiya Univ.) ET2016-71
A teacher in a normal class must instruct a large number of pupils alone. It is difficult to teach pupil individually. T... [more] ET2016-71
pp.27-32
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