Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM |
2024-01-26 15:34 |
Kanagawa |
Keio Univ. (Hiyoshi Campus) |
Comparison of Imbalanced Data Handling Techniques in Emotion Estimation of Expressway Service Area Workers using Stacking Ensemble Learners for Complex Decision Boundaries Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, Takeshi Kurata (AIST) PRMU2023-47 |
Estimating emotions of workers is promising to promote health and productivity management, while it has difficulty in c... [more] |
PRMU2023-47 pp.40-45 |
SeMI |
2024-01-18 15:35 |
Yamanashi |
Raki House Kaiji |
[Poster Presentation]
Towards Activity Recognition Using Wi-Fi CSI from Backscatter Tags in Indoor Environment Kazuki Miyao, Erdelyi Viktor, Akira Uchiyama (Osaka Univ.), Tomoki Murakami (NTT) SeMI2023-60 |
Recently, activity recognition using Wi-Fi CSI has received significant attention due to its low deployment cost, such a... [more] |
SeMI2023-60 pp.56-57 |
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2023-05-19 14:00 |
Okinawa |
Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Training Support System with Spatial Augmented Reality
-- A Case Study of Cleaning Activity Training -- Mana Fukasawa (TUAT), Masayuki Mikuriya, Fumitoshi Ogino (DUSKIN Co., LTD.), Yu Nakayama (TUAT) SeMI2023-15 |
Spatial Augmented Reality (SAR) is a technology that adds information on physical surfaces using a projector or other me... [more] |
SeMI2023-15 pp.64-69 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Nursing activity recognition based on Exploratory Data Analysis Riku Shinohara, Huakun Liu, Monica Perusquia-Hernandez, Naoya Isoyama, Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST) |
In this paper, we first analyzed the nurse activity dataset provided in the “4th Nurse Care Activity
Recognition Challe... [more] |
|
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-13 14:25 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Cleaning Activities Assistance System with Spatial Augmented Reality Using Accelerometer and Projection Mapping Mana Fukasawa (Tokyo Univ. of Agriculture and Tech.), Masayuki Mikuriya, Fumitoshi Ogino (Duskin), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) SeMI2022-25 |
We proposed Spatial Augmented Reality assistance system with an accelerometer and a projection mapping in order to provi... [more] |
SeMI2022-25 pp.28-33 |
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 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 11:30 |
Online |
Online |
A Study of Temporal Information Embedding in Group Activity Recognition Models Yuta Kumakura, Norio Tagawa (Tokyo Metropolitan Univ.), Shuhei Tarashima (NTT Communications Corp.) |
In the previous studies on group activity recognition, various models have been proposed to relate the appearance and be... [more] |
|
SeMI |
2022-01-21 09:20 |
Nagano |
(Primary: On-site, Secondary: Online) |
[Short Paper]
A Preliminary Study on Activity Recognition by Wi-Fi Imaging Kazuki Okawara (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Viktor Erdelyi (Osaka Univ.), Tomoki Murakami, Hirantha Abeysekera (NTT), Teruo Higashino (Osaka Univ.) SeMI2021-72 |
In recent years, research on human activity recognition using Wi-Fi has been widely conducted.Wi-Fi can solve problems s... [more] |
SeMI2021-72 pp.75-79 |
PRMU |
2021-08-26 10:45 |
Online |
Online |
Consideration of primitive action set towards improving activity recognition Satoshi Nishimura, Shusaku Egami, Ken Fukuda (AIST) PRMU2021-10 |
Lots of datasets for activity recognition have been developed. Charades, for instance, provides the term "Throwing a bro... [more] |
PRMU2021-10 pp.19-23 |
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS |
2021-05-27 17:35 |
Online |
Online |
[Poster Presentation]
Real-World Dynamic Recognition by Combining Machine Learning Models Akihito Taya, Koichi Shimoda, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-6 |
Internet of things (IoT) and wearable devices make it easy to obtain physical quantities. These values are used to recog... [more] |
SeMI2021-6 pp.27-32 |
SeMI |
2020-01-31 09:00 |
Kagawa |
|
Proposal and Initial Evaluation of Refrigerator Door Identification Method Using Door Opening and Closing Sound Yudai Mitsukude, Kenta Hayashi, Shigemi Ishida, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-115 |
In recent years, the development of sensing technology has enabled sensing in various situations.IoT products have been ... [more] |
SeMI2019-115 pp.63-68 |
HIP |
2019-12-19 17:30 |
Miyagi |
RIEC, Tohoku University |
Experimental Evaluation of Self-supervised Learning for Reading Activity Recognition Shuji Sakamoto, Yoshihiro Yamada, Masakazu Iwamura, Motoi Iwata, Koichi Kise (Osaka Prefecture Univ.) HIP2019-71 |
In recent years, reading activities have been analyzed by using eye and head movements. The average and variance value o... [more] |
HIP2019-71 pp.35-40 |
WIT, IPSJ-AAC |
2019-03-10 16:15 |
Ibaraki |
Tsukuba University of Technology |
A Development of ADL Navigation Application for Watching the Elderly Persons and Reinforcing their Cognitive Function, and its Evaluation Mutsuo Sano, Mina Yamamoto (OIT), Sho Ooi (Rits Univ), Hiroki Kojima, Keiji Yamamoto, Shohei Namisato, Takuya Ookita (OIT) WIT2018-84 |
We have researched an ADL navigation system for the elderly persons. This paper proposes an ADL navigation application f... [more] |
WIT2018-84 pp.171-176 |
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 |
AI |
2019-02-23 14:20 |
Tokyo |
|
Attempt to distinguish pattern of motion on bed in nursing care situation by machine learning Yohei Kayano (Nagoya City Univ.) AI2018-49 |
Keyword: Nursing, physical restraint, Machine learning, activity recognition, wearable sensor There are remaining proble... [more] |
AI2018-49 pp.67-70 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 16:15 |
Hokkaido |
Hokkaido Univ. |
[Invited Talk]
Indoor Positioning in Large Shopping Mall with Context Based Map Matching Yoshihiko Kamiya, Yanlei Gu, Shunsuke Kamijo (UT) |
This paper focus on large indoor environment and proposes an accurate indoor positioning system with context based map m... [more] |
|
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-20 10:40 |
Hokkaido |
Hokkaido Univ. |
On the fusion of activity recognition and indoor localization using a smartphone Ryohei Nakajima, Takaki Hasegawa (Saitama Univ.) ITS2018-77 IE2018-98 |
In this paper, we propose a system that improves both estimation accuracy by combining activity recognition and indoor l... [more] |
ITS2018-77 IE2018-98 pp.165-170 |
PRMU |
2018-12-14 16:20 |
Miyagi |
|
Correcting Outputs of Ensemble LSTMs by CRF for Robust Activity Recognition Haruka Abe, Yuta Hayakawa (Tokyo Tech), Takuya Hino, Motohide Sugihara, Hiroki Ikeya (KOMATSU), Masamichi Shimosaka (Tokyo Tech) PRMU2018-94 |
Recognizing the activities of the construction vehicle helps to assess the skill of the workers or give a technical guid... [more] |
PRMU2018-94 pp.103-108 |
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) |
SC |
2018-06-02 09:25 |
Fukushima |
UBIC 3D Theater, University of Aizu |
Simultaneous recognition of human activities and locations based on sensor array Shoichi Ichimura, Qiangfu Zhao (Univ. of Aizu) SC2018-11 |
In recent years, smart homes for senior care have attracted great attention in Japan. But a smart home has a privacy iss... [more] |
SC2018-11 pp.59-64 |