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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX 2023-10-12
15:45
Okinawa Nobumoto Ohama Memorial Hall A Study on Personal Identification System Based on Features Extracted from Joint Movement of Everyday Actions
Michiya Ishimoto, Bo Wu, Kiminori Sato (TUT) BioX2023-61
Purpose of this research is to develop a personal identification system which uses features extracted from everyday acti... [more] BioX2023-61
pp.16-20
EMM 2023-03-02
14:30
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Gait Analysis Focusing on Operating Characteristics at Feature Points Detected by OpenPose
Chinatsu Tanaka, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2022-83
A person's walking motion contains a variety of information, such as age and gender. Gait verification, which uses the i... [more] EMM2022-83
pp.84-88
CNR, BioX 2023-03-02
10:30
Oita
(Primary: On-site, Secondary: Online)
Estimation of Personality Traits from Gait
Etsuji Nire, Fumito Shinmura, Daigo Muramatsu (Seikei Univ.) BioX2022-71 CNR2022-37
We attempt to estimate a person's personality characteristics from his/her gait pattern using a deep learning approach.
... [more]
BioX2022-71 CNR2022-37
pp.53-58
SP, WIT, IPSJ-SLP [detail] 2022-10-22
14:00
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Development of a dementia screening tool using health surveys and gait measurements for older adults
Jun Takeo (IPUT in Nagoya), Akira Masuo, Saki Nakamura, Takuto Sakuma (NITech), Yoshihiro Kawade, Tadashi Suzuki (NCU), Kohei Watanabe (Chukyo Univ.), Hiroyasu Akatsu (NCU), Shohei Kato (NITech) SP2022-26 WIT2022-1
Early detection and early treatment are essential to prevent and control the progression of dementia, and early screenin... [more] SP2022-26 WIT2022-1
pp.1-4
MBE, IEE-MBE 2022-06-17
15:50
Online Online MBE2022-11 In the aging society, many fall accidents occur in various places, often leading to serious injury. Elderly people who h... [more] MBE2022-11
p.13
CNR, BioX 2022-03-04
15:50
Online Online Gait-based Age Estimation Using Angle Suppression Learning
Kodai Yamano (Osaka Univ.), Daigo Muramatsu (Seikei Univ.), Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2021-56 CNR2021-37
Robustness for observation view difference is an important and expected property for gait-based age estimation. In order... [more] BioX2021-56 CNR2021-37
pp.51-56
BioX 2020-11-25
11:35
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
pp.7-10
EMCJ, MICT
(Joint)
2020-03-13
10:35
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
pp.1-4
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
15:45
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
pp.183-188
ICTSSL, CAS 2020-01-30
15:35
Tokyo   Locomotion Dynamics of Hardware 4-CPG Model
Kaede Murakawa, Atsuya Suwa, Yoshinobu Maeda (Niigata Univ.) CAS2019-74 ICTSSL2019-43
It is said that central pattern generators (CPGs), which is considered to be in the spinal cord, control various quadrup... [more] CAS2019-74 ICTSSL2019-43
pp.59-63
NLP, CAS 2019-10-22
15:30
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
pp.55-60
BioX 2019-10-04
09:50
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
pp.31-35
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
16:25
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
pp.43-48
MBE 2019-05-19
09:25
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
pp.7-12
PRMU, BioX 2019-03-18
10:00
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
pp.113-118
PRMU, BioX 2019-03-18
10:30
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
pp.125-130
PRMU, BioX 2019-03-18
16:10
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
p.207
NC, MBE
(Joint)
2019-03-06
13:50
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
pp.199-204
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
14:30
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
pp.221-226
CAS, NLP 2018-10-19
09:30
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
pp.63-68
 Results 1 - 20 of 45  /  [Next]  
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