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Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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] |
|
| 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 |
| AI | 2019-09-13 14:20 |
Kagoshima | The Reconfiguration of Recognition by Satellite Earth Observation Data
-- From Vegetation Condition Index to Digital Linguistics -- Kumon Tokumaru (Writer) AI2019-21 |
The author designed, constructed and operated an oceanic environment observation system using earth observation satellit... [more] | AI2019-21 pp.13-18 |
|
| PRMU | 2017-10-13 11:10 |
Kumamoto | Deep Learning Based-Estimation Method for Starting Time of Each Stroke by Using IMU Yuto Omae (NIT,Tokyo College), Masahiro Kobayashi, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi (NUT), Chikara Miyaji (Univ. of Tokyo), Yoshihisa Sakurai (Sports Sensing), Kazufumi Nakai, Nobuo Ezaki (NIT,Toba College), Takuma Akiduki (TUT) PRMU2017-90 |
(To be available after the conference date) [more] | PRMU2017-90 pp.155-160 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 11:15 |
Tokyo | [Short Paper]
Research on Person Recognition from Human Activity Takayuki Yoshida, Basabi Chakraborty (Iwate Pref. Univ.) PRMU2017-57 IBISML2017-29 |
Currently, motion sensors are equipped as standard equipment in mobile terminals, list band type lifelog devices have al... [more] | PRMU2017-57 IBISML2017-29 pp.159-160 |
|
| CS | 2017-07-28 09:50 |
Nagasaki | Fukue Bunka Kaikan | Human Moving Pattern Recognition Based on Communication Quality Using Mobile Sensing and Machine Learning Wataru Kawakami, Kenji Kanai, Wei Bo, Jiro Katto (Waseda Univ.) CS2017-34 |
In this paper, we recognized human moving patterns based on communication quality, such as cellular download throughputs... [more] | CS2017-34 pp.111-116 |
| HCS | 2017-03-16 13:30 |
Miyagi | Prototype of a sensor network system for behavior analysis of kindergartner Kaname Takano, Takashi Kawanami (KIT) HCS2016-112 |
In order to analyze behavior of a kindergarten, it is necessary to monitor movement history of the child, favorite place... [more] | HCS2016-112 pp.125-130 |
|
| PRMU, SP, WIT, ASJ-H | 2016-06-14 09:00 |
Tokyo | A Study on Activity Recognition based on Temporal Change of the Temperature Distribution obtained from a Far-Infrared Sensor Array Takayuki Kawashima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Tomoyoshi Aizawa, Masato Kawade (OMRON) PRMU2016-44 SP2016-10 WIT2016-10 |
Recently, the number of single-living elderly people is increasing along the aging of our society. Thus, there is a gr... [more] |
PRMU2016-44 SP2016-10 WIT2016-10 pp.53-58 |
|
| ICD, CPSY | 2015-12-17 12:55 |
Kyoto | Kyoto Institute of Technology | [Invited Talk]
A Study on Sensing System for Human Activity Recognition Yohei Nakata (Panasonic Corp.) ICD2015-66 CPSY2015-79 |
This paper presents a study on sensing system for human activity recognition, which can support elderly people and famil... [more] | ICD2015-66 CPSY2015-79 pp.19-23 |
| IN, NWS (Joint) |
2014-01-23 14:30 |
Aichi | Nagoya International Center | [Invited Talk]
Introduction to Sensing and Analysis Techniques for Human Activity Recognition Keiichi Yasumoto (NAIST) IN2013-124 |
Progress of sensing and context-awareness technologies has accelerated research on human activity recognition with commo... [more] | IN2013-124 pp.39-44 |
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