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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MICT, MI 2022-11-18
10:55
Aichi Nagoya Institute of Technology A Study on Respiratory Rate Measurement Using Wearable CO2 Sensors
Mitsuhiro Fukuda (METS), Takunori Shimazaki (Jikei Univ.), Daisuke Anzai (NIT) MICT2022-35 MI2022-64
It is necessary to obtain respiratory rate with simple devices in order to detect a sudden change in a patient's conditi... [more] MICT2022-35 MI2022-64
pp.6-11
WPT, UWT
(Joint)
2021-11-12
15:45
Online Online A Proposal of Digging System Based on Wirelessly Powered Drill Pipe String Needless of Battery Exchange
Daisuhe Kitagawa, Toshio Ishizaki (Ryukoku Univ.), Tomoya Inoue, Junya Isiwata (JAMSTEC), Ikuo Awai (Fuji Waves) WPT2021-10
We propose the concept of a sensor system which extends the contactless power transfer system for undersea drilling we h... [more] WPT2021-10
pp.6-10
WIT 2021-06-01
13:25
Online Online Toward Non-Invasive examination of Swallowing Function during Sleep
Nobuyuki Ohmori (Nagano Pref. General Industrial Technology Center), Yoshito Koyama, Hiroshi Kurita (Shinshu Univ), Miyako Nishimura, Hideya Momose (SKINOS), Manabu Chikai, Hiroshi Endo, Shuichi Ino (AIST) WIT2021-5
We have been conducting research aiming to maintain a healthy and independent life by meal assistive technology. The aim... [more] WIT2021-5
pp.23-27
NC, MBE
(Joint)
2021-03-04
15:00
Online Online Cough Detection by Extracting Respiratory Waveform Signal from Photoplethysmography
Ippei Endo, Haruki Kawanaka, Koji Oguri (Aichi Pref. Univ.) MBE2020-48
Monitoring cough, which is an early symptom of COVID-19 and chronic obstructive pulmonary disease, is useful for early d... [more] MBE2020-48
pp.40-43
MBE, MICT 2021-01-28
17:55
Online Online Measurement of respiration during sleep by using wearable sensor
Takuto Yanagida, Koshiro Niwa, Akihiro Karashima (Tohoku Inst. Tech.) MICT2020-32 MBE2020-37
We have been manufacturing a wearable respiration measuring instrument, which is composed by a permanent magnet and magn... [more] MICT2020-32 MBE2020-37
pp.50-53
EA 2020-12-14
15:20
Online Online STUDY ON DISEASE-DETECTION METOHDS USING BODY-CONDUCTED SOUNDS IN LIVESTOCK
Kazunari Tsuchiya, Syunsuke Ishimitsu, Yoshiko Morinaga, Cheng Yibing, Kenta Narusawa, Satoshi Iijima, Masashi Nakayama (Hiroshima City Univ.), Osamu Mikami, Michihiro Takagi, Hiroaki Inoue (NARO) EA2020-57
With the increase in the sizes of the farms in Japan’s livestock industry, managing individual animals has become quite ... [more] EA2020-57
pp.69-74
CQ 2020-07-16
14:15
Online Online Experiments on Proximity-based Localization using PIR Sensors
Shino Shiraki, Yuto Ohashi, Takuhiro Uehara, Shigeo Shioda (Chiba Univ.) CQ2020-25
We have conducted experiments on proximity-based localization based on non-geotagged sensor data using PIR (Passive Infr... [more] CQ2020-25
pp.19-24
MBE, NC 2019-10-11
15:30
Miyagi   Development of Magnetometer Based System for Respiratory Rate Monitoring
Takuto Yanagida, Akihiro Karashima (Tohoku Inst. Tech.) MBE2019-34 NC2019-25
In this study, a measurement method is proposed in which a magnetometer and permanent magnet are combined to continuousl... [more] MBE2019-34 NC2019-25
pp.29-33
MBE 2019-02-01
10:00
Saga Saga University Accuracy Evaluation of Heart Rate Variability Indices in Heartbeat Measurement Using Piezoelectric Sensor
Shinichiro Kuroki, Manami Wakuya, Tomohiko Igasaki (Kumamoto Univ.) MBE2018-73
Recently, the importance of health monitoring in life has been increasing with the aim of early detection and early trea... [more] MBE2018-73
pp.79-83
MSS, CAS, IPSJ-AL [detail] 2018-11-12
16:40
Shizuoka   A Petri net model for heart rate variability biofeedback
Sachie Shinzato, Morikazu Nakamura (Univ. of the Ryujyus), Hideki Kinjo (Okinawa Univ.), Itsuki Kunita (Univ. of the Ryujyus) CAS2018-66 MSS2018-42
We propose a Petri net model for the heart rate variability biofeedback.
The model focusses on the Respiratory Sinus A... [more]
CAS2018-66 MSS2018-42
pp.49-54
SC 2018-06-02
09:25
Fukushima UBIC 3D Theater, University of Aizu Simultaneous recognition of human activities and locations based on sensor array
Shoichi Ichimura, Qiangfu Zhao (Univ. of Aizu) SC2018-11
In recent years, smart homes for senior care have attracted great attention in Japan. But a smart home has a privacy iss... [more] SC2018-11
pp.59-64
MBE, NC
(Joint)
2018-03-13
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. Development of a deglutition monitoring system using swallowing and respiratory sounds
Hayato Sonokawa, Takamasa Yoshida, Nobuyuki Terada (Toyo Univ.) MBE2017-94
Swallowing and breathing work coordinately to route air and food bolus. The pharyngeal-muscular incoordination can cause... [more] MBE2017-94
pp.75-78
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Feature Extraction Using Empirical Mode Decomposition for Tire Sensing
Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA) IBISML2017-78
This paper describes a novel feature-extraction method for classifying road conditions by using acceleration signals tha... [more] IBISML2017-78
pp.315-320
SRW 2017-08-21
16:10
Kyoto Kyoto University [Invited Talk] Towards Realizing Networked Information Processing Platform Inspired by Brain and Living Organisms
Masayuki Murata (Osaka Univ.) SRW2017-17
Design and control methods of networked information processing platform inspired by brain and living organisms are intro... [more] SRW2017-17
pp.43-48
WIT, ASJ-H 2017-05-27
13:00
Tokyo RION Co., LTD. Examination on the Swallowing Signal of the Thickened Water Using an Acoustic-Emission Microphone
Manabu Chikai, Yoshikazu Seki, Kenta Kimura, Hiroshi Endo (AIST), Nobuyuki Ohmori (Nagano Prefecture General Industrial Technology Center), Shuichi Ino (AIST) WIT2017-1
The purpose of this study is to evaluate the swallowing functions of people with dysphagia using an acoustic microphone ... [more] WIT2017-1
pp.1-4
MBE, NC
(Joint)
2017-05-26
16:35
Toyama Toyama Prefectural Univ. A preliminary study on respiratory waveform analysis method for swallowing detection focused on swallowing apnea
Naoya Oritani, Masahiro Saito, Juhyon Kim, Minako Nakabayashi (Univ. of Toyama), Natsuko Tsubouti, Kazue Hayashi (Riunen), Kazuki Nakajima (Univ. of Toyama) MBE2017-10
The purpose of this study is developing a sensor to alleviate the burden on care-givers. We aimed to detect a swallowing... [more] MBE2017-10
pp.49-52
IA 2016-11-03
16:00
Overseas Taipei (Taiwan) [Poster Presentation] Software-Defined Wireless Bacteria-Inspired Network for IoT Agricultural Application
Yao-Chung Chang, Tzu-Ping Sung (National Taitung Univ.) IA2016-38
Owing to the limited resources available to mobile communication networks, Software-Defined Networks (SDN) with higher p... [more] IA2016-38
pp.59-63
MICT, ASN, MoNA
(Joint)
2016-01-28
11:10
Kanagawa Hotel Okada A Proposal and a Partial Trial of Watching Systems for Senior Citizens by Using Wear-free Sensors -- Detection Functions of Cardiac, Respiration and Body Motion with Event Notification Functions --
Hitoshi Ueno (DIT), Masami Kanegae (HSC) MICT2015-39
Proposed watching systems do not need to put sensors on the human body, for recognizing normal or abnormal status of the... [more] MICT2015-39
pp.1-5
MBE 2016-01-21
16:40
Kagoshima Kagoshima University Study on the measurement of the cardiorespiratory information using a piezoelectric sensor array -- Development of automatic decision method of cardiorespiratory component by the independent component analysis --
Shogo Shimai, Tomohiko Igasaki, Nobuki Murayama, Makiko Kobayashi (Kumamoto Univ) MBE2015-99
We have been studying an equipment to acquire cardiorespiratory information at home easily by piezoelectric sensors arra... [more] MBE2015-99
pp.83-86
OCS, OFT, IEE-CMN, ITE-BCT
(Joint) [detail]
2015-11-12
16:25
Ehime Matsuyama Civic Center Respiration and body movement analysis during sleep using sensitive mattress based on hetero-core fiber optic sensor
Yugo Taguchi, Shuhei Fujino, Michiko Nishiyama, Kazuhiro Watanabe (Soka Univ.) OFT2015-40
This paper describes a sensitive mattress based on hetero-core fiber optic sensors with a superior ability for monitorin... [more] OFT2015-40
pp.5-8
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