Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SC |
2022-03-11 16:05 |
Online |
EventIn |
Realization of the attentive listening agent utilizing nonverbal empathic response based on prosody and utterance content. Yuki Tokuda (Kobe Univ.), Sachio Saiki (Kochi Tech), Masahide Nakamura (Kobe Univ.) SC2021-45 |
In active listening counseling system that utilizes a virtual agent, it is important to respond sympathetically to the s... [more] |
SC2021-45 pp.59-64 |
KBSE, SC |
2021-11-06 09:45 |
Online |
Online + Morioka City (KBSE) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Development of nonverbal empathic response utilizing prosodic features for the active listening agent Yuki Tokuda, Masahide Nakamura (Kobe Univ.), Sachio Saiki (Kochi Univ. of tech.) KBSE2021-31 SC2021-30 |
In the active listening counseling system that utilizes a virtual agent, it is important to respond em-pathically to the... [more] |
KBSE2021-31 SC2021-30 pp.37-42 |
SC |
2020-03-16 09:30 |
Online |
Online |
Acquiring and Assessing Personal Interests with Dialogue Agent Yuki Tokuda, Sachio Saiki, Masahide Nakamura (Kobe Univ), Kiyoshi Yasuda (OIT) SC2019-35 |
In previous research, we have proposed a method which represents and manages ``the knowledge of individual person ''(Pe... [more] |
SC2019-35 pp.1-8 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-15 14:00 |
Tokyo |
|
Proposal of a method to detect damaged lane markings based on label propagation Yasunari Kishimoto, Yasuhiro Iida, Sotetsu Iwamura (NTT), Makoto Kawano, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) PRMU2017-51 IBISML2017-23 |
Road marking inspection has been carried out by visual observation from the vehicle. However, visual inspection of large... [more] |
PRMU2017-51 IBISML2017-23 pp.97-102 |
CNR |
2016-06-19 14:15 |
Tokyo |
FabCafe Tokyo (1-22-7, Dogen-zaka, Shibuya, Tokyo) |
Expression Amplifying Robot
-- A Personal Expression Translator -- Ai Kashii, Kazunori Takashio, Hideyuki Tokuda (Keio) CNR2016-3 |
[more] |
CNR2016-3 pp.11-16 |
SC |
2016-01-15 13:05 |
Kyoto |
Kyoto University (Design Innovation Center) |
Field trial of atmospheric monitoring using sensorized public vehicles Yoshinari Shirai, Yasue Kishino, Futoshi Naya, Yutaka Yanagisawa (NTT), Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) SC2015-15 |
We have conducted a field trial that collects several atmospheric information by mobile sensor system installed on publi... [more] |
SC2015-15 pp.1-5 |
RCC, ASN, RCS, NS, SR (Joint) |
2015-07-29 16:15 |
Nagano |
JA Naganoken Bldg. |
Senbay: Smartphone-Based Activity Capturing and Sharing Platform using Sensor-Data Embedded Video Yuuki Nishiyama, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda (Keio University) ASN2015-29 |
We present Senbay, a novel smartphone-based platform for capturing and sharing synchronously-recorded video/sensor data ... [more] |
ASN2015-29 pp.49-54 |
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) |
2015-01-27 15:20 |
Wakayama |
Nanki Shirahama |
Sensorizer: An Architecture for Regenerating Cyber Physical Data Streams from Entombed Web Contents Jin Nakazawa, Takuro Yonezawa, Hideyuki Tokuda (Keio Univ.) ASN2014-155 |
[more] |
ASN2014-155 pp.249-254 |
RCC, ASN, NS, RCS, SR (Joint) |
2014-07-30 13:30 |
Kyoto |
Kyoto Terrsa |
[Encouragement Talk]
A Privacy-Preserving Method for Collecting Statistical Information in Mobile Sensing Shoko Minagawa, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2014-40 |
With the spread of mobile devices with GPS and various sensors, mobile sensing has attracted much attention. Mobile sens... [more] |
ASN2014-40 pp.1-5 |
ASN |
2014-05-30 15:35 |
Tokyo |
Convention Hall, RCAST, The University of Tokyo |
[Encouragement Talk]
Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks Akito Ito, Naoya Namatame, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2014-38 |
Compressive Sensing (CS) is a novel approach for data representation, which can represent signals at a rate below the Ny... [more] |
ASN2014-38 pp.149-154 |
ASN, MoNA (Joint) |
2014-01-23 10:40 |
Ehime |
Hotel Okudogo (Matsuyama) |
SlowMAC: Receiver Initiated MAC Protocol toward Low Dutycycle and Low Data Losses Kenichi Yasukata, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-120 |
In Wireless Sensor Networks, sensor node's readio module is the
major energy consumer.
MAC layer
controls the radio m... [more] |
ASN2013-120 pp.11-16 |
ASN, MoNA (Joint) |
2014-01-23 11:40 |
Ehime |
Hotel Okudogo (Matsuyama) |
Multi Hop Broadcast Based on Directive Relations in Inter vehicle Communications Tomoya Toyoda, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-125 |
It is problem that a lot of multi-hop broadcast in Inter Vechicle Communications interfere with each other and transmitt... [more] |
ASN2013-125 pp.41-46 |
ASN, MoNA (Joint) |
2014-01-23 13:55 |
Ehime |
Hotel Okudogo (Matsuyama) |
Aipi:Link Quality Estimation Method Adapting to Inter Packet Interval Kodai Suzuki, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-131 |
In Wireless Sensor Network(WSN), Link Quality Estimation(LQE) estimates link quality. Related works is assumed that para... [more] |
ASN2013-131 pp.77-82 |
ASN, MoNA (Joint) |
2014-01-24 16:15 |
Ehime |
Hotel Okudogo (Matsuyama) |
F-CODE: A data abstraction approach for Compressive Sensing in Mobile Sensing Application Akito Ito, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-160 |
Mobile sensing is attractive area for researchers and developers in recent years. Especially, the emergence of Smartphon... [more] |
ASN2013-160 pp.237-241 |
ASN, RCS, NS, SR (Joint) |
2013-07-18 10:20 |
Shizuoka |
Hamamatsu Act City |
[Poster Presentation]
Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks Akito Ito, Naoya Namatame, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) NS2013-41 RCS2013-92 SR2013-29 ASN2013-59 |
Compressive Sensing (CS) is a novel approach for data representation, which can represent signals at a rate below the Ny... [more] |
NS2013-41 RCS2013-92 SR2013-29 ASN2013-59 pp.43-48(NS), pp.85-90(RCS), pp.51-56(SR), pp.71-76(ASN) |
HPB (2nd) |
2013-06-17 14:30 |
Toyama |
Toyama Prefectural Univ. |
Toward an integrated architecture of Sensor Network and Participatory Sensing Takuro Yonezawa, Mina Sakamura, Hideyuki Tokuda (Keio) |
[more] |
|
ASN, IPSJ-UBI |
2013-05-16 15:10 |
Kumamoto |
Kumamoto University |
Privacy-aware Estimation of User's Geographical Distribution Shoko Minagawa (Keio Univ.), Shunsuke Aoki (Tokyo Univ.), Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2013-11 |
Recently, devices such as mobile phones and tablets are widespread. Therefore, location-based applications are gathering... [more] |
ASN2013-11 pp.55-60 |
ASN, IPSJ-UBI |
2013-05-16 15:35 |
Kumamoto |
Kumamoto University |
T-Ring:A Decentralized Multidimensional Indexing Focusing on Temporal Feature of Sensor Data Junki Terayama, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2013-12 |
[more] |
ASN2013-12 pp.61-66 |
ASN, IPSJ-UBI |
2013-05-16 16:00 |
Kumamoto |
Kumamoto University |
Virtual Sensor Networks: Its Principles and Applications Jin Nakazawa, Takuro Yonezawa, Tomotaka Ito, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-13 |
[more] |
ASN2013-13 pp.67-72 |