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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MI, IE, SIP | 2018-05-18 16:15 |
Gifu | Effects on Classification Performance of Time Windows in Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data Satoko Sugai, Toru Takeyama, Kiyoshi Kogure (KIT)  SIP2018-18 IE2018-18 PRMU2018-18 MI2018-18 |
We have experimentally evaluated the effects on classification accuracy of time windows in feature extraction using deno... [more] | SIP2018-18 IE2018-18 PRMU2018-18 MI2018-18 pp.81-85 |
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| 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 | 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 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 09:45 |
Tokyo | Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data Toru Takeyama, Kiyoshi Kogure (KIT) PRMU2017-58 IBISML2017-30 |
We have experimentally evaluated how the performance of activity recognition from acceleration data depends on the way o... [more] | PRMU2017-58 IBISML2017-30 pp.161-166 |
|
| HCS | 2017-08-20 16:05 |
Tokyo | Seikei University | A Method of Automatic Training Data Collection for Wearable Sensor-based Activity Recognition Yusuke Yamaura, Daisuke Ikeda, Masatsugu Tonoike, Yukihiro Tsuboshita (Fuji Xerox) HCS2017-51 |
In this paper, we target activities associated to objects in non-verbal communication activities and propose a method to... [more] | HCS2017-51 pp.25-28 |
| 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 |
|
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Estimation of Music Genres from Spontaneous Brain Activity Analysis by Using Neural Network Hiroki Itoga, Yoshikazu Washizawa (UEC) EA2016-103 SIP2016-158 SP2016-98 |
Quantitative evaluation of the mind states has been addressed for a long time. Evaluated mind states can be applied for ... [more] | EA2016-103 SIP2016-158 SP2016-98 pp.119-122 |
| 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 |
| HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi | Kochi City Culture Plaza (CUL-PORT) | Unconscious deep-brain functional mechanisms for explaining perception of sounds Katsuhiro Mori (Aoyama Gakuin Univ), Yoshitada Katagiri (NICT/Kobe Univ), Yoshito Tobe (Aoyama Gakuin Univ) |
Speech synthesis generating voices as people can easily understand plays a primary part in computer systems with vocal m... [more] | |
| SP | 2016-08-24 13:00 |
Kyoto | ACCMS, Kyoto Univ. | Adaptation Methods for Daily Activity Recognition Based on Deep Neural Network Tomoki Hayashi (Nagoya Univ.), Norihide Kitaoka (Tokushima Univ.), Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-27 |
Our objective is to build a monitoring system which enables elderly people to live actively, and the key technology to a... [more] | SP2016-27 pp.1-6 |
| SP | 2016-08-24 13:25 |
Kyoto | ACCMS, Kyoto Univ. | Daily Activity Recognition Based on Recurrent Neural Network Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28 |
Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] | SP2016-28 pp.7-12 |
| 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 |
|
| ASN | 2016-05-12 13:35 |
Tokyo | [Invited Talk]
Recent studies on indoor context recognition and their future development Takuya Maekawa (Osaka University) ASN2016-4 |
not available [more] | ASN2016-4 pp.19-21 |
|
| PRMU, BioX | 2016-03-24 14:45 |
Tokyo | [Invited Talk]
Multimodal human activity recognition using wearable and smartphone sensors Takuya Maekawa (Osaka Univ.) BioX2015-53 PRMU2015-176 |
Nowadays, smart devices with various sensors such as a smart watch, smartphone, and smart glass are commercially availab... [more] | BioX2015-53 PRMU2015-176 pp.71-72 |
|
| ITS, IEE-ITS | 2016-03-10 10:20 |
Kyoto | Kyoto Univ. | On the Improvement of Smartphone Positioning Performance Using Activity Recognition by Smartphone Sensors Takashi Ogihara, Takaaki Hasegawa, Tetsuya Manabe (Saitama Univ.) ITS2015-85 |
In this paper，we propose a smart phone positioning method using activity recognition and carry out various experiments. ... [more] | ITS2015-85 pp.5-10 |
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