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 Results 1 - 20 of 73  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2022-01-22
Online Online Design and implementation of a gait data management server supporting a various measurement devices and polymetrics method
Yoshihiro Ito, Mizue Kayama (Shinshu Univ.), Takashi Nagai (IOT) ET2021-43
Health data is attracting much attention to promote the health and longevity of the elderly. We focused on gait data amo... [more] ET2021-43
ITS, WBS, RCC 2020-12-15
Online Online Classification of pedestrians existing in visible or blind areas using Doppler radar -- An Approach Using Long Short-Term Memory --
Sora Hayashi, Daiki Isobe (Ritsumeikan Univ.), Kenshi saho (Toyama Pref. Univ.), Masao Masugi (Ritsumeikan Univ.) WBS2020-29 ITS2020-25 RCC2020-32
In this report, the walking positions of pedestrians, whether they are directly visible from the observation point or in... [more] WBS2020-29 ITS2020-25 RCC2020-32
BioX 2020-11-25
Online Online Gait Based Gender Classification via Siamese Network
Yi-Cheng Yang (Osaka Univ.), Daigo Muramatsu (Seikei Univ.), Yasushi Yagi (Osaka Univ.) BioX2020-36
An approach for gender classification from a walking image sequence is constructing CNN-based model that uses a gait ene... [more] BioX2020-36
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
Online Online Gait identification and authentication using LSTM based on 3-axis acceleration of smartphone
Yuji Watanabe, Masaki Kimura (Nagoya City Univ.) SIP2020-12 BioX2020-12 IE2020-12 MI2020-12
Gait identification and authentication are performed using recurrent neural networks and LSTM (Long Short-Term Memory) f... [more] SIP2020-12 BioX2020-12 IE2020-12 MI2020-12
Tokyo Kikai-Shinko-Kaikan Bldg.
(Cancelled but technical report was issued)
Discrimination of apathetic elderly people using micro-Doppler radar measurement of daily movements.
Kouki Sugano, Kenshi Saho, Kazuki Uemura (Toyama Pref Univ.), Michito Matsumoto (Toyama Col of Welfare Sci) MICT2019-52
In this report, we clarify the physical functions related to apathy via Doppler radar measurements of activities of dail... [more] MICT2019-52
(Joint) [detail]
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Walking Balance Evaluation Based on Load Sensor of Walking Support Robot
Naoto Okada (Nagoya Univ.), Mayu Yokoya, Kazunori Yamada (Panasonic Co., Ltd.), Naoto Yoshida, Yu Enokibori, Kenji Mase (Nagoya Univ.) IMQ2019-51 IE2019-133 MVE2019-72
With the increasing of elderly population, it is desired that elderly people can send healthy longevity lifestyle. Worki... [more] IMQ2019-51 IE2019-133 MVE2019-72
NLP, CAS 2019-10-22
Gifu Gifu Univ. Consideration of input data in person recognition by gait using Extreme Learning Machine
Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2019-34 NLP2019-74
In this research, we consider a method of person recognition using an Extreme Learning Machine (ELM) whose inputs are Ga... [more] CAS2019-34 NLP2019-74
BioX 2019-10-04
Okinawa   Gait feature extractor incorporation of additional labels
Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2019-61
In personal authentication using convolutional neural network, extra labels are often incorporated together with subject... [more] BioX2019-61
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
Okayama   Inter-frame interpolation by height constraint for sequential human silhouette images -- Application to forensic gait analysis under low frame-rate condition --
Daisuke Imoto, Kenji Kurosawa, Masakatsu Honma, Ryo Yokota, Manato Hirabayashi, Yoshinori Hawai (NRIPS) PRMU2019-19 MI2019-38
Boundary information is important for defining the shape of an object or a person as a first approximation, and widely u... [more] PRMU2019-19 MI2019-38
MBE 2019-05-19
Niigata Niigata University A group-theoretic consideration on symmetry and redundancy of quadruped locomotion
Yoshinobu Maeda, Mamoru Iwaki (Niigata Univ.) MBE2019-2
The Golubitsky-Buono theory based on mathematical group and symmetry is available to estimate a hardware design of CPG (... [more] MBE2019-2
PRMU, BioX 2019-03-18
Tokyo   A Study of Comparison of Learning Algorithms for Pedestrian Identification Using 3-Axis Accelerometer of Smartphone
Meng Cui, Yuji Watanabe (Nagoya City Univ.) BioX2018-48 PRMU2018-152
We have acquired triaxial acceleration from a smartphone device and have identified subjects during walking. In the prev... [more] BioX2018-48 PRMU2018-152
PRMU, BioX 2019-03-18
Tokyo   Gait Recognition Based on Constraint Mutual Subspace Method with CNN Features
Akinari Sakai, Naoya Sogi, Kazuhiro Fukui (University of Tsukuba) BioX2018-50 PRMU2018-154
In this paper, we propose a high performance gait recognition framework. In recent years, the gait recognition has attra... [more] BioX2018-50 PRMU2018-154
PRMU, BioX 2019-03-18
Tokyo   [Invited Talk] Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018)
Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.) BioX2018-66 PRMU2018-170
In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely empl... [more] BioX2018-66 PRMU2018-170
Tokyo University of Electro Communications NC2018-80 An octopus has eight flexible long arms and each arm has an elaborate peripheral nervous system. In order to understand ... [more] NC2018-80
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
Hokkaido Hokkaido Univ. Gait Identification Using 3d Pose Estimation From Free-viewpoint Surveillance Camera
Toshiaki Hirooka, Hiroki Takahashi (UEC) ITS2018-83 IE2018-104
Gait is one of biological information which indicates how to walk.It is possible to acquire gait from a distance and any... [more] ITS2018-83 IE2018-104
MoNA 2018-12-25
Tokyo   Human Gait Recognition Method for Long and Baggy Clothes Using Machine Learning
Abrar Alharbi, Eiji Kamioka (SIT) MoNA2018-50
Human gait is a significant biometric feature used for the identification of people by their style of walking. In compar... [more] MoNA2018-50
CAS, NLP 2018-10-19
Miyagi Tohoku Univ. Person recognition by gait using an Extreme Learning Machine
Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2018-49 NLP2018-84
In this research, we propose a method of person recognition using an Extreme Learning Machine (ELM). We proposed an ELM ... [more] CAS2018-49 NLP2018-84
BioX 2018-10-12
Okinawa Nobumoto Ohama Memorial Hall Extraction of gait information and authentication by an infrared sensor network
Shumpei Tsubakino, Mineichi Kudo (Hokkaido Univ.) BioX2018-25
We have improved a system that distinguishes persons from their gait measured by a ceiling infrared sensor network. The ... [more] BioX2018-25
BioX 2018-10-12
Okinawa Nobumoto Ohama Memorial Hall On Gait-based Age and Health Age
Atsuya Sakata, Hirofumi Nishikawa, Noriko Takemura, Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi (Osaka Univ.) BioX2018-26
In this paper, we analyze the relation between the health age, that can be calculated from the health check result, and ... [more] BioX2018-26
BioX 2018-10-12
Okinawa Nobumoto Ohama Memorial Hall Evaluation for individuality of intermediate output from CNN-based gait classification network
Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2018-27
In personal authentication using convolutional neural network, we often use attribute information besides input's person... [more] BioX2018-27
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