研究者詳細 - 島　圭介

論文 - 島　圭介

件数 121 件

Short Communication: Continuous body movement-robust respiration rate detection using Frequency-Modulated Continuous Wave millimeter wave radar based on non-negative matrix factorization algorithm

Wang, TY; Sun, WX; Shima, K

BIOMEDICAL SIGNAL PROCESSING AND CONTROL 102 2025年4月 [査読有り]

DOI Web of Science

記述言語：英語掲載種別：研究論文（学術雑誌）共著

助産師の児頭後頭結節滑脱の判断

音村有美, 村上明美, 浅見恵梨子, 島谷康司, 島圭介, 藤井宏子

日本助産学会誌 39 ( 1 ) 15 - 26 2025年 [査読有り]

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本助産学会共著

目　的児頭後頭結節滑脱の助産師の判断指標を明らかにし，実践的には児頭後頭結節滑脱に関する教育に，学術的には助産師の技能に貢献することを目的とした。対象と方法対象はアドバンス助産師またはそれに準ずる経験年数かつ分娩介助件数を有する助産師14名とし，機縁法で研究協力の依頼をした。研究対象者に2つのシミュレーターを用いて分娩介助を実施してもらい，児頭後頭結節滑脱の再現性が高い方を選定してもらった。その後半構造化面接法を用いて選定理由と児頭後頭結節滑脱の判断指標を，同意を得てICレコーダーに録音しながら聞き取った。その後逐語録を作成し，児頭後頭結節滑脱の判断指標に関する内容を抽出，意味内容の類似性に従いカテゴリ化した。本研究は，岡山大学医療系部局臨床研究審査専門委員会の承諾を得て実施した。結　果対象者全員が，再現性が高い方はthe Sophie and Sophie's Mum Birth Simulator 4.0.（MODEL-med®）と回答した。児頭後頭結節滑脱の判断指標に関する逐語録を娩出時期にも留意し分析を行った結果，11の判断指標が抽出された。判断指標は「後頭結節滑脱前」「後頭結節滑脱時」「後頭結節滑脱後」に分類され，後頭結節滑脱前は【児頭の丸みを感じる】【強い児の反屈圧を触知する】【会陰は後頭結節滑脱まで伸展できる余裕がある】，後頭結節滑脱時は【児頭を介助者の手掌全体で把持可能になる】【介助者の手指関節に児頭の形状や児の娩出圧の変化を感じる】【児の額が確認できる】【介助者の加圧と児の反屈圧の均衡が変化する】【会陰の変化は限界に近づく】，後頭結節滑脱後は【児頭の丸みは触知不能になる】【児頭娩出方向が水平から垂直に変わる】【会陰が復古する】が該当した。結　論児頭後頭結節滑脱の判断指標として11のカテゴリが抽出され，児頭後頭結節滑脱の機序に沿って分類した結果，児頭後頭結節滑脱前から滑脱後にかけての判断指標が示された。

Investigation of Motor Learning Effects Using a Hybrid Rehabilitation System Based on Motion Estimation

Takenaka, K; Shima, K; Shimatani, K

SENSORS 24 ( 11 ) 2024年6月 [査読有り]

DOI Web of Science PubMed

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）共著

時系列情報を考慮した未学習クラス推定法に基づく5指複合動作によるロボットハンドの制御

堀松壮吾, 竹中健祐, 布野大樹, 迎田隆幸, 島圭介

計測自動制御学会論文集 60 ( 12 ) 656 - 664 2024年 [査読有り]

DOI CiNii Research

担当区分：最終著者,　責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人計測自動制御学会共著

Various man-machine interfaces controlled by electromyogram (EMG) signals such as the myoelectric prosthetic hand have been proposed. General classifiers can not consider unintended motions in the training phase and require learning all the motions. In this paper, the authors propose a motion estimation system with unlearned classes and combined motions based on a muscle synergy model. The proposed method can identify unlearned five-finger combined motions by learning a single motion only. Furthermore, this method utilizes the history of muscle synergy and unlearned motion detection, using a state transition model. In the experiments, it was shown that the discrimination accuracy was sufficient for simple combined motions.

FPGA Implementation of Approximate Gaussian Mixture Model for Open-Set Recognition in Interface Control

Kashiwagi, R; Mukaeda, T; Shima, K

2024 10TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES, CODIT 2024 1553 - 1558 2024年 [査読有り]

DOI Web of Science

担当区分：最終著者,　責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

FPGA実装を指向した未学習クラス推定混合ガウス型識別モデルと複合動作の識別

柏木僚太, 迎田隆幸, 島圭介

計測自動制御学会論文集 60 ( 6 ) 397 - 406 2024年 [査読有り]

DOI CiNii Research

担当区分：最終著者,　責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人計測自動制御学会共著

The electromyogram (EMG) signal generated by muscle contraction has been widely utilized for motion estimation of arms and fingers. To develop a myoelectric prosthetic hand that has high general versatility and safeness, a classifier that can consider complex forearm motions and motions that are not assumed during training, is required. However, hardware implementation of complex classifiers that has high classification performance is difficult. To tackle these problems, this paper proposed a novel probabilistic neural network that can be implemented in FPGA (Field Programmable Gate Array), and it was applied to an EMG-based human-machine interface system. The proposed neural network includes two types of probability density functions optimized for hardware implementation and enabled the execution of multi-class discrimination considering the unlearned class on the FPGA. Furthermore, by combining a forearm motion classifier and a hand motion classifier, the consideration of compound motions consisting of multiple hand gestures can be achieved. In experiments, the results showed that the proposed method can be implemented on FPGAs, and demonstrated that it can achieve highly accurate motion classification for compound motions and unlearned motions.

Effects of neurofeedback on standing postural control task with combined imagined and executed movements

Sawai, S; Fujikawa, S; Ohsumi, C; Ushio, R; Tamura, K; Yamamoto, R; Kai, YSHR; Murata, S; Shima, K; … 全著者表示

FRONTIERS IN NEUROSCIENCE 17 2023年7月

DOI Web of Science PubMed

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

体性感覚刺激に基づくヒトの運動学習支援技術

島圭介, 島谷康司, 坂田茉実

システム／制御／情報 67 ( 6 ) 230 - 235 2023年6月

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人システム制御情報学会共著

Effects of neurofeedback training combined with transcranial direct current stimulation on motor imagery: A randomized controlled trial

Sawai Shun, Murata Shin, Fujikawa Shoya, Yamamoto Ryosuke, Shima Keisuke, Nakano Hideki

FRONTIERS IN NEUROSCIENCE 17 2023年3月

DOI Web of Science PubMed

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

機能的電気刺激に基づく筋電位制御インタフェースのトレーニングシステム

楊辰巳, 島圭介, 島谷康司

ロボティクス・メカトロニクス講演会講演概要集 2023 ( 0 ) 1A1-E09 2023年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

Multifunctional control of EMG-based man-machine interface requires users to generate separated electromyogram (EMG) patterns. This paper proposes a training system to improve the consistency and separability of users’ EMG patterns based on the usage of functional electrical stimulation (FES) and motion selection method. User is capable of contracting target muscles by FES. Motion selection method selects suitable motions (EMG patterns) for each user by eliminating similar ones. Motion classification is performed with a probabilistic neural network using feature patterns extracted from EMG. Experimental results demonstrated that the proposed system is effective for generating separated EMG patterns consistently. It is therefore assumed that proposed system can be used for interface control training.

仮想ライトタッチ現象を用いた歩行支援効果の評価と検証

小川康太, 三上隼人, 坂田茉実, 島圭介

ロボティクス・メカトロニクス講演会講演概要集 2023 ( 0 ) 2A2-C05 2023年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

We experimentally verified the effectiveness of applying virtual light-touch contact to improve walking stability. Virtual light-touch contact is an application of light-touch contact, which aims to reduce postural sway through vibration feedback to the fingertips, rather than physical contact with a fixed point on the fingers. In this experiment, we used a wearable device to reproduce the virtual light-touch contact. The results of the experiment showed that similar to the light-touch contact, there were parameters indicating a significant improvement in walking stability with the virtual light-touch contact. This suggests that there is potential for improving walking stability with virtual light-touch contact.

マルチモーダルな感覚刺激誘導による呼吸運動訓練システム

岡部峻空, 清水武史, 島圭介, 豊原尚実, 下野義章, 蓑原伸一, 草野陽介

ロボティクス・メカトロニクス講演会講演概要集 2023 ( 0 ) 2P1-C02 2023年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

In this paper, we propose a respiratory exercise training system using real-time respiratory depth feedback and respiratory rhythm teaching stimuli based on multimodal periodic signals for the purpose of respiratory stabilization in cancer patients undergoing heavy particle radiotherapy. In addition, by developing a measurement device that is easy for subjects to use, we will realize a simple respiratory guidance system suitable for daily operation. In the respiratory motion training experiment, it was confirmed that the proposed training system stabilized the respiratory frequency, stabilized the respiratory depth, and increased the rest period. These results suggest that the treatment time can be shortened, and the patient’s burden can be reduced. In addition, it is suggested that the addition of somatosensory stimulation may improve the comprehension of the taught rhythm.

Hybrid Rehabilitation System with Motion Estimation Based on EMG Signals

Takenaka, K; Shima, K; Shimatani, K

2023 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, ICORR 2023年

DOI Web of Science PubMed

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

EMG信号に基づく動作推定型ハイブリッドリハビリテーションシステム

竹中健祐, 島圭介, 島谷康司

ロボティクス・メカトロニクス講演会講演概要集 2023 ( 0 ) 1P1-E02 2023年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

In this paper, the authors propose a method for rehabilitation support in accordance with the patient’s motor intention based on the control of the robot assist and functional electrical stimulation (FES). Motion estimation is performed with a probabilistic neural network by input feature patterns extracted from electromyograms (EMGs). The subject’s motions are controlled and assisted by the developed assist robot and FES control. The experimental results showed that the effective training can be realized by the proposed system, and the system has the potential to provide effective rehabilitation.

A single-leg standing test evaluation system for fall prevention in workers

Mikami Hayato, Sakata Mami, Shima Keisuke, Nagara Tomoyuki, Yamashita Makiko, Shimatani Koji

ADVANCED ROBOTICS 36 ( 24 ) 1365 - 1375 2022年12月

DOI Web of Science

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

A deep neural network model for multi-view human activity recognition

Putra, PU; Shima, K; Shimatani, K

PLOS ONE 17 ( 1 ) 2022年1月

DOI Web of Science PubMed

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

運動イメージとニューロフィードバックの併用は立位姿勢制御能力を向上させる

藤川翔也, 大角知央, 牛尾龍, 田村宏佑, 澤井舜, 甲斐義浩, 村田伸, 島圭介, 中野英樹

基礎理学療法学 25 ( Supplement ) S87-1 - S87-1 2022年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本基礎理学療法学会共著

ライトタッチ現象に基づくウェアラブル転倒予防デバイスとリスク評価技術

島圭介, 坂田茉実, 島谷康司

年次大会 2022 ( 0 ) F111-03 2022年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

The number of people requiring nursing care is increasing in Japan. This is because individuals in this older segment of the population tend to suffer more falls and other accidents than others. This background highlights the need for the development of a fall prevention method. Various research for fall prevention has been studied for this problem. We also have proposed a new method for fall prevention based on the phenomenon called Light Touch Contact (LTC), in which lightly touch to an object with the fingertips reduces the body sway. This paper introduces the development of a wearable device for fall prevention based on the LTC phenomenon and a fall risk assessment index based on large-scale experimental data of more than 1,000 subjects as examples of our past efforts.

Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken

Putra Prasetia Utama, Shima Keisuke, Alvarez Sergio A., Shimatani Koji

SCIENTIFIC REPORTS 11 ( 1 ) 2021年11月 [査読有り]

DOI Web of Science PubMed

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）共著

A wearable light-touch contact device for human balance support

Shima Keisuke, Shimatani Koji, Sakata Mami

SCIENTIFIC REPORTS 11 ( 1 ) 7324-1 - 7324-13 2021年4月 [査読有り]

DOI Web of Science PubMed

記述言語：英語掲載種別：研究論文（学術雑誌）共著

浮遊する風船の紐を把持した子どもの姿勢制御－乳幼児の歩行獲得支援の試み－

島谷康司, 島圭介，坂田茉実

ベビーサイエンス 21 40 - 48 2021年3月 [査読有り] [招待有り]

CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

Spontaneous movements in the newborns: a tool of quantitative video analysis of preterm babies

Tacchino Chiara, Impagliazzo Martina, Maggi Erika, Bertamino Marta, Blanchi Isa, Campone Francesca, … 全著者表示

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 199 2021年2月 [査読有り]

DOI Web of Science PubMed

記述言語：英語掲載種別：研究論文（学術雑誌）共著

混合余事象分布を内包した確率ニューラルネットに基づく5指駆動型ロボットハンドのEMG制御

小宮山翼, 迎田隆幸, 島圭介

計測自動制御学会論文集 57 ( 12 ) 504 - 510 2021年 [査読有り]

DOI CiNii Research

担当区分：最終著者,　責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人計測自動制御学会共著

Many man-machine interfaces controlled by electromyogram (EMG) signals such as the myoelectric prosthetic hand have been proposed. General classifiers do not cover unintended motions in the training phase and misclassify those inevitably. Since the misclassification can cause dangerous incidents, an interface with high security is required. To solve this problem, this paper proposes a novel control method of man-machine interfaces that can treat unlearned motions. In the experiments, the proposed method was applied to forearm and finger motion classification to evaluate the validity. The outcomes showed that the approach produces higher and more stable classification performance than comparative methods.

A System for Wound Evaluation Support Using Depth and Image Sensors

Watanabe Ryotaro, Shima Keisuke, Horiuchi Taiki, Shimizu Takeshi, Mukaeda Takayuki, Shimatani Koji

2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) 3709 - 3712 2021年 [査読有り]

DOI Web of Science PubMed

担当区分：責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

Markerless Behavior Monitoring System for Diagnosis Support of Developmental Disorder Symptoms in Children

Putra Prasetia Utama, Shima Keisuke, Hotchi Sayaka, Shimatani Koji

2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021) 1784 - 1787 2021年 [査読有り]

DOI Web of Science

担当区分：責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

溶接作業熟練者のクラスタ構造解析と作業評価システムの開発

迎田隆幸, 島圭介, 池田裕樹, 遠藤直輝, 野々村将一, 藤井正和

ロボティクス・メカトロニクス講演会講演概要集 2021 ( 0 ) 2P3-J16 2021年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

In recent years, the shortage of successors has become a serious problem in the manufacturing industry due to the declining birthrate and the aging of skilled workers. To tackle this problem, a new education and training systems utilizing ICT technology that improves the efficiency of education is required. In this paper, we focused on the education of welding work and proposed a new work evaluation system that visualizes arc welding operations and evaluates the similarity with skilled workers. The proposed method can extract low-dimensional feature vectors from measured welding torch postures and current and voltage values, and accurately classifies them into multiple clusters acquired by unsupervised learning. The experimental results showed that the proposed system achieved high classification performance and suggested the possibility of using them for training in welding operations.

機能的電気刺激に基づく運動エンハンス/レジストシステム

末廣勇祐, 重田尚哉, 島圭介, 島谷康司

ロボティクス・メカトロニクス講演会講演概要集 2021 ( 0 ) 2P2-D13 2021年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

In contrast to voluntary movement, muscle contraction stimulated by functional electrical stimulation (FES) is more likely to cause muscle fatigue. This paper proposes a method that amplifies voluntary movement using FES and motion classification to intensify muscle workouts, thereby speeding up muscle fatigue. Motion classification was performed with a probabilistic neural network using feature patterns extracted from Mechanomyogram (MMG). A compact and lightweight electrical stimulation device delivered electrical signals to subjects’ arm via stimulation electrodes. The study performed three experiments: voluntary movement, FES, and voluntary movement amplification. Experimental results demonstrated that the proposed method caused the highest intensity of muscle contraction, which could be effective for training.

マルチモーダルな生体信号に基づくドライバの感情推定システム

西原翼, 島圭介, 神谷昭勝, 南重信, 井上真一, 小池美和, 鮫島暁

ロボティクス・メカトロニクス講演会講演概要集 2021 ( 0 ) 2P3-J17 2021年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

Estimating the affect of motorcycle drivers can improve safety measures during the drive. Previous researches have been attempting to predict people’s affect by employing the machine learning model and biosignals such as ECG and EEG. This paper proposes a novel real-time affect recognition method using multimodal biosignals employing knowledge distillation (KD) that enables the proposed model to estimate the driver’s affect using only ECG. An experiment involving 28 subjects was conducted to measure their biosignals when watching 360 videos with VR. Though the proposed model only utilized ECG during the test, experimental results demonstrated that it could achieve a satisfying performance.

ニューロフィードバックを用いた運動イメージトレーニングと経頭蓋直流電気刺激の併用が健常者の運動イメージ想起能力に及ぼす効果

中野英樹, 木下美優, 仲田至織, 橘瑞希, 藤田菜緒, 島圭介

基礎理学療法学 24 ( Supplement ) S139 - S139 2021年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本基礎理学療法学会共著

混合余事象分布に基づく未学習クラス推定確率ニューラルネット

迎田隆幸, 島圭介

計測自動制御学会論文集 56 ( 12 ) 532 - 540 2020年12月 [査読有り]

DOI CiNii Research

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：計測自動制御学会共著

General classification methods only involve consideration of learned classes, and do not cover undefined targets such as unintended characteristics in the learning process. This paper proposes a novel probabilistic neural network can treat unlearned class. The proposed method incorporates two types of probabilistic distribution: normal and complementary Gaussian distribution and can reach multi-class classification and unlearned class detection with a single network. In the experiments, artificial data and electromyogram (EMG) patterns were classified to demonstrate the capabilities of the proposed method. The results showed that the approach produces high performance for classification, and there were significant differences between the proposed and previous methods.

身体揺らぎに基づく振動刺激制御による仮想ライトタッチ現象の評価

上條冬矢, 坂田茉実, 島圭介, 島谷康司

生体医工学 58 ( 1 ) 39 - 46 2020年3月 [査読有り]

DOI CiNii Research

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人日本生体医工学会共著

An increasing frequency of fall accidents associated with demographic aging in Japan has given rise to a need for effective fall prevention methods. Elderly people often use support devices such as canes and walking frames to reduce the risk of falling, but such measures may be inappropriate for certain environments. Previous research has shown that unsteadiness can be mitigated via light touch contact (LTC) with curtains or similar object at a force of up to around 1N, and the authors also previously proposed a virtual light touch contact (VLTC) approach based on LTC. VLTC supports standing stability based on a surrounding virtual partition connected to a vibrotactile fingertip stimulator. It is known that the posture retention effect is not achieved via simple continuous fingertip stimulation;rather, vibrotactile stimulation is required for control based on fingertip motion characteristics such as acceleration. However, with LTC the effect can be achieved via constant contact with a piece of paper or similar object without the need for fingertip movement. Assuming that reaction force from a fixed point fluctuates with body sway or psychological tremors in LTC, the LTC effect may be achievable by reproducing such fluctuations via vibrational stimulation. In this study, the authors proposed a novel VLTC method involving the use of vibration stimulation control to reproduce fluctuations in contact reaction force caused by the individual’s movement based on fingertip acceleration data. Verification of the method indicated a reduction of postural fluctuations similar to that achieved with LTC. This finding suggests that reduction of center-of-gravity sway achieved with LTC may be associated with slight changes in reaction force from a fixed point, which improves the position sense of the fingertip.

Markerless Measurement and evaluation of General Movements in infants

Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui, Taro Shibanoki, Keisuke Shima, … 全著者表示

Scientific Reports 10 ( 1422 ) 2020年1月 [査読有り]

DOI Web of Science PubMed

記述言語：英語掲載種別：研究論文（学術雑誌）共著

麻痺患者の機能回復訓練支援を目指した関節運動伝達技術

島圭介, 島谷康司

計測と制御 59 ( 1 ) 12 - 16 2020年1月

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人計測自動制御学会共著

Development of an anomaly detection method with a novel hidden semi-Markov model incorporating unlearned states

Mukaeda Takayuki, Shima Keisuke, Miyajima Saori, Hashimoto Yuki, Tanaka Takayuki, Tani Naomichi, Iz … 全著者表示

2020 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 1270 - 1275 2020年 [査読有り]

DOI Web of Science

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

Assessment of virtual light touch phenomenon by vibrotactile stimulation control based on body sway

Kamijo Toya, Sakata Mami, Shima Keisuke, Shimatani Koji

2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 1236 - 1241 2020年 [査読有り]

DOI Web of Science

担当区分：責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

Real-time evaluation of driver cognitive loads based on multivariate biosignal analysis

Shimizu Takeshi, Shima Keisuke, Mukaeda Takayuki, Muraji Shu, Matsuo Juntaro, Horiue Masayoshi

2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 623 - 628 2020年 [査読有り]

DOI Web of Science

担当区分：責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

Catchicken: A Serious Game Based on the Go/NoGo Task to Estimate Inattentiveness and Impulsivity Symptoms

Putra Prasetia Utama, Shima Keisuke, Shimatani Koji

2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020) 152 - 157 2020年

DOI Web of Science

記述言語：日本語掲載種別：研究論文（学術雑誌）共著

仮想ライトタッチによる立位機能評価システムStA2BLEの社会実装

神谷昭勝, 島圭介, 坂田茉実, 上條冬矢, 島谷康司

ロボティクス・メカトロニクス講演会講演概要集 2020 ( 0 ) 1P2-M11 2020年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

The existing proposal of falling risk evaluation system, a.k.a. StA2BLE, for the national unprecedented ageing society problem, is research domain. So, the keys of industrialization such as producibility, cost and usability, e.g. professional skillset required to operate, are less considered and consequentially difficult to be adapted by the society. Furthermore, since standing function factors can be identified by the system, so personal effective training program, which could bring huge value to the market, can be automatically generated based on the calculated factors. This paper is to discuss and offer social deployment strategy of the StA2BLE in order to get rid of the barriers.

FPGA実装を指向した近似GMMに基づく未学習クラス推定ニューラルネット

植草秀明, 迎田隆幸, 清水武史, 島圭介

ロボティクス・メカトロニクス講演会講演概要集 2020 ( 0 ) 1P2-F05 2020年

DOI CiNii Research

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人日本機械学会共著

General classification methods cannot treat unexpected patterns that are not considered in the training process. For this problem, our research group has proposed a probabilistic classification method that can classify abnormal patterns as the unlearned class. For the implementation of the classifier in the embedded hardware, this paper proposes a novel approximate Bayesian classification method with the anomaly detection based on Gaussian mixture models and the probabilistic density function of the unlearned class. The proposed classifier was applied to forearm motion classification in the experiments. Experimental results demonstrate the proposed method can achieve high classification performance as same as the previous model, and the effectiveness of the proposed method could be confirmed.

Effects of somatosensory information provision to fingertips for mitigation of postural sway and promotion of muscle coactivation in an upright posture

Ryoma Mitani, Koji Shimatani, Mami Sakata, Takayuki Mukaeda, Keisuke Shima

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19) 2019年7月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：IEEE 共著

EMBC'19 Berlin, Germany

Quantitative Evaluation of Human Finger Tapping Movements Through Magnetic Measurements

Keisuke Shima,Toshio Tsuji,Akihiko Kandori,Masaru Yokoe,Saburo Sakoda

IEEE/ASME Transactions on Mechatronics 24 ( 1 ) 186 - 196 2019年2月 [査読有り]

DOI

担当区分：筆頭著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Institute of Electrical and Electronics Engineers ({IEEE}) 共著

ライトタッチ現象の再現を目指したSensory Reweightingに基づくヒト立位制御モデル

坂田茉実, 島圭介, 島谷康司

計測自動制御学会論文集 55 ( 11 ) 674 - 682 2019年 [査読有り]

DOI

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人計測自動制御学会共著

Light touch contact (LTC) proposed by Jeka in 1997 can reduce unstability in human standing by the user lightly touching a curtain or similar with fingertips. However, the potential contribution of LTC to human posture control strategy has not yet been elucidated. This paper proposes a novel human standing control model designed to reproduce the influence of LTC on sensory reweighting which is a principle of control strategy for human standing posture. The approach allows us to represent time-series changes in sensory weights caused by LTC and express body sway in a standing state. Simulation using the proposed model indicated its capacity to reproduce human sway more accurately than a previous model, and experimental results suggested that sensory reweighting was influential in standing attitude control.

その他リンク： https://ci.nii.ac.jp/naid/130007748634

A Standing Function Evaluation System Based on Virtual Light Touch Contact and Factor Analysis

Keisuke Shima, Koji Shimatani,Gen Sato,Mami Sakata,Psiche Giannoni,Pietro Morasso

40th Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society, {EMBC} 2018 2018年7月 [査読有り]

DOI

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）共著

Markerless Human Activity Recognition Method Based on Deep Neural Network Model Using Multiple Cameras

Prasetia Utama,Keisuke Shima,Koji Shimatani

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) 13 - 18 2018年4月 [査読有り]

<島 圭介>

論文 - 島 圭介

<島　圭介>

論文 - 島　圭介