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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, SIP, SP, IPSJ-SLP [detail] | 2025-03-04 09:30 |
Okinawa | (Okinawa) | [Poster Presentation]
An Analysis of Speaker Representation for Target-Speaker Speech Processing Takanori Ashihara, Takafumi Moriya, Shota Horiguchi (NTT), Junyi Peng (BUT), Tsubasa Ochiai, Marc Delcroix, Kohei Matsuura, Hiroshi Sato (NTT) |
(To be available after the conference date) [more] | |
| RISING (3rd) |
2024-11-12 11:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
Human Activity Recognition in Bathrooms Using Heterogeneous Sensors Kio Joko, Masakatsu Ogawa (Sophia Univ.) |
The bathroom is a common location where elderly individuals are at risk of accidents, such as falls. While monitoring th... [more] | |
| SC, KBSE | 2024-11-09 11:20 |
Kochi | Kochi-City Culture Plaza CUL-PORT (Kochi) | Recognizing Pet In-Home Behavior Using Relative Positional Relationship between Skeleton and Object Yukito Azai, Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.)  KBSE2024-36 SC2024-39 |
In recent years, more and more people need pets such as cats or dogs because of the outbreak of a new type of coronaviru... [more] | KBSE2024-36 SC2024-39 pp.102-107 |
| LOIS, IPSJ-DC | 2024-07-12 12:15 |
Hyogo | Mikage Kokaido (Hyogo) | Zero-Shot Classification Using Large Language Models and Weak Supervision: Application of Human Activity Recognition in Smart Home Naoto Takeda, Yasutaka Nishimura, Yudai Yamazaki, Kazushi Ikeda (KDDI Research, Inc.) LOIS2024-11 |
Sensor-based activity recognition in smart homes enables applications like health monitoring and anomaly detection. Due ... [more] | LOIS2024-11 pp.59-64 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:34 |
Kanagawa | Keio Univ. (Hiyoshi Campus) (Kanagawa) | 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 (Yamanashi) | [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) (Okinawa, Online) (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 (Kagawa, 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 (Ishikawa, 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 (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 (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 | (Nagano, Online) (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 (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 (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 | (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 (Miyagi) | 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 (Ibaraki) | 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 (Tokyo) | [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 | (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. (Hokkaido) | [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] | |
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