Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, BioX |
2017-03-20 13:00 |
Aichi |
|
[Invited Talk]
Monitoring Technology of Elderly Living Alone
-- Nursing Science and Engineering & Sensor-Based Medical Information Engineering -- Taketoshi Mori (The Univ. of Tokyo) BioX2016-41 PRMU2016-204 |
The proportion of elderly people in Japan is currently around 25%, but this is expected to be around 40% as the populati... [more] |
BioX2016-41 PRMU2016-204 pp.47-50 |
WIT, HI-SIGACI |
2016-12-14 13:25 |
Tokyo |
AIST Tokyo Waterfront |
The monitoring system for single-living elderly with the sensor attached welfare equipment Yu Tsumura, Tomoji Toriyama, Akira Urashima, Michito Matsumoto (TPU), Taketoshi Mori (Univ Of Tokyo), Kaoru Iketani (ILT office), Yasuko Sumitani, Kiyoshi Miyajima (Toyama College Of Welfare Science) WIT2016-46 |
[more] |
WIT2016-46 pp.5-10 |
WIT, HI-SIGACI |
2016-12-14 13:50 |
Tokyo |
AIST Tokyo Waterfront |
Preliminary study of thermography-combined home monitoring system for single-living elderly Akira Urashima, Shengnan Li, Tomoji Toriyama, Michito Matsumoto (Toyama Pref. Univ.), Taketoshi Mori (UT), Kaori Iketani (ILT Office), Yasuko Sumitani, Kiyoshi Miyajima (Toyama College of Welfare Science) WIT2016-47 |
We are investigating the feasibility of integrating thermography sensor, which recently became inexpensive and small, in... [more] |
WIT2016-47 pp.11-16 |
CNR |
2012-02-27 16:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg |
Mobile robot navigation framework based on selection of heterogeneous distributed sensor Hiroshi Noguchi, Hidekazu Kiyota, Rui Fukui, Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato (Tokyo Univ.) CNR2011-37 |
We constructed navigation framework for mobile robots to use heterogeneous distributed sensor. The framework can find an... [more] |
CNR2011-37 pp.35-40 |
IBISML |
2011-06-21 13:00 |
Tokyo |
Takeda Hall |
[Invited Talk]
-
-- - -- Taketoshi Mori (U. Tokyo) |
(Advance abstract in Japanese is available) [more] |
|
PRMU |
2009-09-01 10:15 |
Miyagi |
Tohoku Univ. |
The Optimization of Sensor Arrangement for Activity Recognition by Flow-based Simulation Ryo Urushibata, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (Univ. of Tokyo.) PRMU2009-69 |
This paper deals with the optimization of sensor arrangement for activity recognition of the people living alone with py... [more] |
PRMU2009-69 pp.115-120 |
PRMU |
2009-06-18 13:55 |
Hokkaido |
Hokkaido Univ. |
Object Detection System using Region-Level Layered Background Subtraction and Feature Point Based Tracking Shigeyuki Odashima, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (The Univ. of Tokyo) PRMU2009-45 |
This paper proposes an object detection method in indoor environments. With object placement and removal, the input imag... [more] |
PRMU2009-45 pp.31-36 |
PRMU |
2009-06-18 15:35 |
Hokkaido |
Hokkaido Univ. |
Action Recognition Using Real-Time Markerless Motion Capture Atsunori Moteki, Masamichi Shimosaka, Tomomasa Sato, Taketoshi Mori (Univ. of Tokyo) |
[more] |
|
PRMU |
2009-01-12 13:30 |
Tokyo |
NII |
Pose Estimation of Multiple People using Contour Features from Multiple Laser Range Finders Takashi Matsumoto, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato, Taketoshi Mori (The Univ. of Tokyo) PRMU2008-200 |
Laser based tracking systems have been developed for mobile robotics and intelligent surveillance areas. Existing system... [more] |
PRMU2008-200 pp.65-70 |
PRMU, HIP |
2007-09-04 16:00 |
Aichi |
Nagoya Univ. |
* , Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato (Univ. of Tokyo) PRMU2007-84 HIP2007-93 |
[more] |
PRMU2007-84 HIP2007-93 pp.231-238 |
PRMU, HIP |
2007-02-22 16:15 |
Kanagawa |
|
Online Action Recognition with Structured Boosting Yu Nejigane, Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato (Tokyo Univ.) |
In this paper, we propose a robust online action recognition method based on boosted sequential classification. Our meth... [more] |
PRMU2006-216 HIP2006-109 pp.59-64 |
PRMU |
2007-01-19 15:45 |
Kyoto |
|
Fast Refining Method of Contour's Class Using the Description of Hierarchical Convex/Concave Structure Ryohei Kamiya, Taketoshi Mori (Tokyo Univ.) |
We present a method to refine candidates of contour's class which have a low computational cost by using convex/concave ... [more] |
PRMU2006-204 pp.61-66 |
SN (2nd) |
2006-05-18 13:00 |
Tokyo |
Tokyo Univ. of Science, Morito Memorial Hall |
[Invited Talk]
Network Sensing in Room Configuration Taketoshi Mori (Univ. of Tokyo) |
(To be available after the conference date) [more] |
|
PRMU, HIP |
2006-01-20 12:15 |
Osaka |
Osaka Univ. |
Learning Environment Responding to User's Behavior Mehrab Hosseinbor, Taketoshi Mori, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.) |
[more] |
PRMU2005-158 HIP2005-128 pp.53-58 |
PRMU, HIP |
2006-01-20 15:10 |
Osaka |
Osaka Univ. |
Internet image retrieval using relationship with words in acceptation text and image features Yoshiko Suemasu, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (Univ. of Tokyo) |
(To be available after the conference date) [more] |
PRMU2005-166 HIP2005-136 pp.99-104 |
PRMU, HIP |
2006-01-20 15:40 |
Osaka |
Osaka Univ. |
Development of Individual Identification System utilizing Time Series of Floor Pressure Distribution Toshiaki Yamanishi, Taketoshi Mori, Hiroshi Morishita, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.) |
This paper proposes an individual identification system utilizing the change of foot-floor contact area shape during wal... [more] |
PRMU2005-167 HIP2005-137 pp.105-110 |
KBSE |
2005-03-15 13:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Room Situation Search System Based on RDF describing Room Object as Target of Human Behavior Hiroshi Noguchi, Katsunori Tanaka, Taketoshi Mori, Tomomasa Sato (Univ. of Tokyo) |
This paper proposes room situation search system using description about room objects.
Sensors and RFID are attached t... [more] |
KBSE2004-61 pp.31-36 |
PRMU |
2004-11-18 10:30 |
Fukui |
|
unknown Masamichi Shimosaka, Taketoshi Mori, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.) |
A novel kernel computation algorithm between time-series human motion data that can be used for online action recognitio... [more] |
PRMU2004-95 pp.13-18 |