Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2021-03-05 16:30 |
Online |
Online |
[Invited Lecture]
A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks Yoshito Watanabe, Yozo Shoji (NICT) SR2020-88 |
This study proposes a framework to detect hazardous spots on roads by combining mobile sensing on commercial-use vehicle... [more] |
SR2020-88 pp.91-98 |
LOIS |
2020-03-12 14:10 |
Okinawa |
Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Measuring a Performance of Mobile Sensing Framework for iOS in a Real Study Condition Yuuki Nishiyama (UTokyo), Wataru Sasaki, Yusaku Eigen, Yusuke Motoki, Tadashi Okoshi, Jin Nakazawa (Keio Univ.), Kaoru Sezaki (UTokyo) LOIS2019-78 |
(To be available after the conference date) [more] |
LOIS2019-78 pp.127-132 |
SeMI, IPSJ-MBL, IPSJ-UBI |
2020-03-02 11:25 |
Online |
Online |
Accuracy Evaluation of Aisle Width Estimation using RGB-D Camera Daiki Maruyama, Kenji Kanai, Jiro Katto (Waseda Univ.) SeMI2019-121 |
Recently, population in Japan is aging rapidly and will keep growing in the future. To address this fact, the government... [more] |
SeMI2019-121 pp.19-24 |
SRW, SeMI, CNR (Joint) |
2019-11-06 13:25 |
Tokyo |
Kozo Keisaku Engineering Inc. |
[Poster Presentation]
Accuracy Evaluation of Road Bump Detection using 2DLiDAR mounted on e-Bike Kento Yamamoto, Kenji Kanai, Jiro Katto (Waseda Univ.) SRW2019-32 SeMI2019-76 CNR2019-26 |
In this paper, we introduce a road bump detection method by using 2DLiDAR mounted on a e-Bike. In this method, first, th... [more] |
SRW2019-32 SeMI2019-76 CNR2019-26 pp.49-50(SRW), pp.69-70(SeMI), pp.47-48(CNR) |
NS, IN, CS, NV (Joint) |
2019-09-06 15:20 |
Miyagi |
Research Institute of Electrical Communication, Tohoku Univ. |
Research and Development of Mobile Sensing System using e-Bike for Road Infrastructure Maintenance Kenji Kanai, Kento Yamamoto, Kazuki Murayama, Naoki Wada, Masaru Takeuchi, Jiro Katto (Waseda Univ.) CS2019-61 |
In this paper, we introduce a mobile sensing system using e-Bike for road infrastructure maintenance. We install a camer... [more] |
CS2019-61 pp.75-80 |
RCC, MICT |
2019-05-29 14:25 |
Tokyo |
TOKYO BIG SIGHT |
[Invited Talk]
Toward Distributed Complex Event Processing on Mobile Biosensing Platform Akio Sashima (AIST) RCC2019-4 MICT2019-4 |
In recent years, healthcare services using smartphones and wristwatch-type smart devices have attracted attention. As th... [more] |
RCC2019-4 MICT2019-4 p.17 |
CS, CQ (Joint) |
2019-04-18 10:10 |
Osaka |
Osaka Univ. Library |
Accuracy Evaluations of Transportation Mode Recognition Based on Communication Quality of Mobile Video Using Transfer Learning Wataru Kawakami, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2019-3 |
Recently, sustainability of high quality mobile services is mandatory because mobile terminals are explosively increasin... [more] |
CS2019-3 pp.13-18 |
CS, CQ (Joint) |
2019-04-19 13:30 |
Osaka |
Osaka Univ. Library |
[Special Invited Talk]
Mobile Sensing and Mobility Analysis in Society 5.0 Era Teruo Higashino (Osaka Univ.) CS2019-12 |
Along with the recent spread of AI, big data and IoT technology, new social systems utilizing ICT are about to be constr... [more] |
CS2019-12 pp.61-64 |
CS, IE, IPSJ-AVM, ITE-BCT [detail] |
2018-11-30 10:45 |
Tokushima |
Tokushima University (Memorial Hall of Almuni(Engineering)) |
Performance Characteristics of Transportation Mode Recognition Using Communication Quality of Video Distribution Wataru Kawakami, Kenji Kanai, Wei Bo, Jiro Katto (Waseda Univ.) CS2018-80 IE2018-59 |
Because the accelerometer sensors and global positioning system (GPS) produce additional mobile traffic and increase ene... [more] |
CS2018-80 IE2018-59 pp.71-76 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 13:40 |
Hokkaido |
Hakodate Arena |
Accuracy Evaluations of CNN based Transportation Modes Recognition Using Communication Quality Wataru Kawakami, Kenji Kanai, Bo Wei, Jiro Katto (Waseda Univ.) NS2018-65 |
Because the accelerometer sensors and global positioning system (GPS) produce additional mobile traffic and energy consu... [more] |
NS2018-65 pp.133-138 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 17:15 |
Hokkaido |
Hakodate Arena |
[Invited Talk]
Towards Realizing Ambient Sensing in Advanced Mobility Society Yoh Shiraishi (Future Univ. Hakodate) RCC2018-52 NS2018-69 RCS2018-114 SR2018-49 ASN2018-46 |
Recently, advanced transport systems and future mobility such as personal mobility, MaaS (Mobility as a Service) and aut... [more] |
RCC2018-52 NS2018-69 RCS2018-114 SR2018-49 ASN2018-46 p.121(RCC), p.153(NS), p.163(RCS), p.131(SR), p.137(ASN) |
HPB (2nd) |
2018-02-21 16:15 |
Tokyo |
|
Analysis of Tourist's Unconscious Gesture Toward Inner State Estimation During Sightseeing Yuta Takahashi (NAIST), Yuki Matsuda (NAIST/JSPS research fellow DC1), Dmitrii Fedotov (UULM), Yutaka Arakawa (NAIST/JST PRESTO), Wolfgang Minker (UULM), Keiichi Yasumoto (NAIST) |
As the demand for "smart tourism" increases, various tourism information becomes available, but the existing tourist inf... [more] |
|
MoNA |
2018-01-19 15:20 |
Kyoto |
Campus Plaza Kyoto |
Accuracy Evaluations of Human Transportation Modes Recognition Using Communication Quality Wataru Kawakami, Kenji Kanai, Wei Bo, Jiro Katto (Waseda Univ.) MoNA2017-58 |
In this paper, we introduce a recognition method using communication quality factors in order to identify the transporta... [more] |
MoNA2017-58 pp.93-98 |
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 |
NS, ASN, RCC, RCS, SR (Joint) |
2017-07-19 13:45 |
Hokkaido |
Hokkaido Univ. |
Data Collection Method using Data Collection with DTN in Participatory Sensing and Data Interpolation Hiro Onishi, Takuya Asaka (Tokyo Metropolitan Univ.) NS2017-37 |
With the spread of mobile terminals that include sensors, participatory sensing is attracting attention for collecting m... [more] |
NS2017-37 pp.51-56 |
IN, ICTSSL, NWS (Joint) |
2016-10-20 16:35 |
Osaka |
Osaka Uinv. |
[Invited Talk]
A Proposal of Grass-roots Information Delivery Systems for Protecting Oneself from Land Disasters Masahiro Nishi, Koichi Shin, Eitaro Kouno, Shinji Inoue, Tomoyuki Ohta, Kenji Ishida (Hiroshima City Univ.), Eiji Utsunomiya (KDDI Lab.), Yoshiaki Kakuda (Hiroshima City Univ.) ICTSSL2016-25 IN2016-54 |
In order to minimize damages due to landslide disasters caused by heavy rain and so on, it is quite important for reside... [more] |
ICTSSL2016-25 IN2016-54 pp.29-34(ICTSSL), pp.31-36(IN) |
ASN |
2016-05-13 14:30 |
Tokyo |
|
[Poster Presentation]
Efficient Data Collection for Participatory Sensing using Smartphones Hiro Onishi, Takuya Asaka (Tokyo Metropolitan Univ.) ASN2016-17 |
With the spread of high-performance mobile terminal including sensors, participatory sensing is attracting attention for... [more] |
ASN2016-17 pp.89-90 |
MICT, ASN, MoNA (Joint) |
2015-01-26 10:15 |
Wakayama |
Nanki Shirahama |
A Practical Function for Privacy-Aware Negative Surveys Shoko Minagawa, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2014-114 |
Almost all of mobile sensing applications aim at constructing statistical data such as urban congestion levels by analyz... [more] |
ASN2014-114 pp.43-48 |
MICT, ASN, MoNA (Joint) |
2015-01-26 13:55 |
Wakayama |
Nanki Shirahama |
Participatory Sensing of People Crowd Using Smartphones Tomohiro Nishimrua, Takamasa Higuchi, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoNA2014-66 |
In this paper, we propose a novel system for estimating crowd density and smoothness of pedestrian flows in public space... [more] |
MoNA2014-66 pp.47-52 |
HCGSYMPO (2nd) |
2014-12-17 - 2014-12-19 |
Yamaguchi |
Kaikyo Messe Shimonoseki |
Data Management Method for Mobile Air Sensing Masayuki Iwai (TDU) |
The spreads of Smartphone makes monitoring for environmental sensor data easy. The Pollutions of culvert, rivers, and st... [more] |
|