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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 53  /  [Next]  
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
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