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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Trial to induce unstable gait by visual and auditory stimulation Tomomasa Ohara, Shinji Murata, Chikamune Wada (Kyutech) |
Falls have a significant impact on the independent living of the elderly. To prevent falls, some methods have been propo... [more] | |
| 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 |
| MBE, IEE-MBE | 2022-06-17 15:50 |
Online | Online | MBE2022-11 |
In the aging society, many fall accidents occur in various places, often leading to serious injury. Elderly people who h... [more] | MBE2022-11 p.13 |
| MBE, NC (Joint) |
2022-03-02 11:25 |
Online | Online | An analytical study of habituation to rocking during standing position Yutaro Fujimoto (NIT, Tokuyama College), Yoshimitsu Hashizume (KIIS), Tomoko Hioki (YJC), Jun Nishii (Yamaguchi Univ.), Shoko Kaichida (NIT, Tokuyama College) MBE2021-91 |
In this study, the floor on which the subject stood was suddenly moved horizontally to the left and right. We analyzed t... [more] | MBE2021-91 pp.17-20 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Detection of Slippery Walking Areas from Images Using Deep Learning Yuki Furuko, Hidehiko Shishido, Yoshinari Kameda (U-Tsukuba) |
(To be available after the conference date) [more] | |
| ITS, IEE-ITS | 2021-03-15 11:00 |
Online | Online | Estimating Passenger's Fall Risk based on the Motion of Boarding a Bus Miyu Yokoyama (Aichi Prefectural Univ.), Masahiro Inami, Hideaki Yamaguchi (Aisin Seiki Co., Ltd.), Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2020-39 |
The number of fall accidents inside of the bus has been regarded as a problem. Passengers those who cannot cope with the... [more] | ITS2020-39 pp.17-22 |
| WIT, IPSJ-AAC | 2021-03-05 15:35 |
Online | Online | A Study of Step Detection and Notification Device attachable to a Walking Trolley Tomonori Shimada, Masayuki Iwai (TDU) WIT2020-32 |
(To be available after the conference date) [more] | WIT2020-32 pp.16-19 |
| SeMI, IPSJ-MBL, IPSJ-UBI [detail] | 2021-03-01 10:25 |
Online | Online | Fall Detection Based on LSTM Using Accelerometer Yoshiya Uotani, Chen Ye, Kohei Yamamoto, Tomoaki Ohtsuki (Keio) SeMI2020-59 |
In recent years, the increase in fall accidents among the elderly has become a problem with the aging of the population.... [more] | SeMI2020-59 pp.7-12 |
| LOIS, ICM | 2020-01-10 10:00 |
Nagasaki | ARKAS SASEBO | Prediction method of tumble using machine learning of footsteps.
-- Evaluation results that increased the number of subjects. -- Takehiro Mori, Hiroyuki Nishi, Manabu Okamoto (Sojo Univ.) ICM2019-36 LOIS2019-51 |
With the progress of super-aged society, the number of elderlies living alone has increased, and the number of falls in ... [more] | ICM2019-36 LOIS2019-51 pp.33-37 |
| MoNA | 2019-01-16 10:30 |
Kyoto | T. B. D. | [Encouragement Talk]
Implementation of Distributed Deep Learning over Wireless Sensor Network Yuta Fukushima, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoNA2018-59 |
In this technical report, we design a new architecture to distribute and execute CNN (Convolutional neural network) over... [more] | MoNA2018-59 pp.13-18 |
| 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) |
| CNR, IN, MoNA (Joint) [detail] |
2017-11-17 09:00 |
Fukuoka | A Study on Fall Detection by Networked Sensors Daiki Miura, Yuta Fukushima, Takashi Hamatani, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoNA2017-19 |
Human fall detection has been on immense interest for elderly care. In this tequnical report, we propose a novel system... [more] |
MoNA2017-19 pp.25-30 |
|
| LOIS, ISEC, SITE | 2017-11-10 10:00 |
Kyoto | Prediction method of tumble using machine learning of footsteps. Takehiro Mori, Hiroyuki Nishi, Yoshimasa Kimura (Sojo Univ.) ISEC2017-61 SITE2017-43 LOIS2017-38 |
Along with the progress of super aged society, lonely elderly people are increasing. In addition, accidents in homes and... [more] | ISEC2017-61 SITE2017-43 LOIS2017-38 pp.79-82 |
|
| MBE, NC (Joint) |
2017-03-14 09:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Functional brain imaging of prefrontal activity during a center of pressure tracking task using near-infrared spectroscopy Kazuki Hori, Yutaka Kusune, Tomohiro Shibata (Kyutech) NC2016-73 |
Quantitative evaluation of balance capability is important because falls are a major factor to greatly lower the QoL of ... [more] | NC2016-73 pp.55-59 |
| MBE, NC (Joint) |
2017-03-13 13:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of balance of walking based on simple and inverted pendulum models Takahiro Kagawa, Yoji Uno (Nagoya Univ.) MBE2016-86 |
Analysis of gait stability is important to assess the risk of a fall in elderly people and people with gait disorders. I... [more] | MBE2016-86 pp.21-26 |
| ASN, MoNA, MICT (Joint) |
2017-01-19 14:00 |
Oita | Doppler Analysis Based Fall Detection Using Array Antenna Yugo Agata, Tomoaki Ohtsuki, Kentaroh Toyoda (Keio University) ASN2016-72 |
Nowadays, the number of elderly people who live alone is increasing in Japan. So, there are urgent needs for monitoring ... [more] | ASN2016-72 pp.19-24 |
|
| MBE, NC (Joint) |
2016-05-21 16:35 |
Toyama | University of Toyama | Development of a sensor system for preventing falls as standing up from the toilet seat Takahiro Iikuni, Kazuki Ikeda, Juhyon Kim, Kazuki Nakajima (Univ. Toyama) MBE2016-8 |
Inpatient may fall down at the time of the standing-up from the toilet. A sensor system that informs automatically nurse... [more] | MBE2016-8 pp.41-44 |
| MBE, NC (Joint) |
2016-03-23 15:10 |
Tokyo | Tamagawa University | EEG measurement during stepping exercise with visual perception tasks Tsukasa Sanuki, Taichi Hayasaka, Takahide Kato (NIT, Toyota College), Takashi Kawagoe (Sumitomo Riko) NC2015-106 |
Increase of fall risks becomes a concern in caring for the elderly, and is one of the important problems in an era of an... [more] | NC2015-106 pp.211-216 |
| MBE, NC (Joint) |
2016-03-22 13:50 |
Tokyo | Tamagawa University | Influence of Knee-Joint Torque on Simulating Falling Accidents during Sit-to-Stand Movements Toshikazu Matsui, Kunio Dobashi, Nobuaki Nakazawa (Gunma Univ.) MBE2015-110 |
We have already formulated a dynamics-switching three-link and three-joint optimal control model that reproduces human s... [more] | MBE2015-110 pp.39-44 |
| MBE, NC (Joint) |
2015-12-19 13:25 |
Aichi | Nagoya Institute of Technology | Theoretical Reproduction of Falling Accidents during Sit-to-Stand Movements Using Optimal Control Model Toshikazu Matsui, Kunio Dobashi, Nobuaki Nakazawa (Gunma Univ.) MBE2015-70 |
We have already formulated a dynamics-switching three-link and three-joint optimal control model that reproduces human s... [more] | MBE2015-70 pp.43-48 |
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