In this paper, input-oriented virtual internal model tuning is expanded to non-minimum phase systems. Proposed method can tune the feedback controller and the desired transfer function. Compared to FRIT, the proposed met ... more
In the medical field, accidents involving the fall of inpatients around beds have become an increasing problem. To prevent such accidents, nurses record the condition of inpatients using a check sheet referred to as the ... more
In deep learning (hereinafter referred to as DL) education, universities, research institutes and large companies are promoting education by fostering educators and creating curriculums based on national policies. Howeve ... more
The purpose of this study was to advance our understanding on the autonomic effects of electric fields, and to investigate the usage of electric fields for self-care by identifying the conditions under which electric fie ... more
The application of Doppler radar to classify the motion differences related to the differences of pants is presented. The deep learning of the Doppler radar spectrogram using a convolutional neural network achieved a 90% ... more
The method and results of recognizing single Japanese sounds using surface electromyography (sEMG) signals generated from muscles around the mouth are presented. We determined six features of the waveforms of four muscle ... more
In this study, we developed a capacitive seating analysis sensor using a conductive textile for evaluating a Seating Motion. Physical burden on caregivers is a common problem at nursing care sites. Developing long-term c ... more
The purpose of this study was to develop a computerized classification method for molecular subtypes in low-grade gliomas (LGGs) with multi-scale 3D-at-tention branch networks analyzing multi-sequence brain MRI images. O ... more
In recent years, the lowing supply voltage and the A/D conversion accuracy are required for ΔΣA/D Conversion Circuits. We proposed MASH structure using the 2nd order swing-suppression A/D conversion circuit at previous r ... more
We propose a total optimization model of electric power networks for EV taxi services. Planning of charging and discharging of the EV batteries are optimized in conditions of not only the transportation demand but also t ... more
Research on a Guide Dog Robot for Expressing Visual Environment by Voice
論文No: ページ数: 7 日付: 2023/05/01
著者: 市川 玲也（神奈川大学），張 斌（神奈川大学），林 憲玉（神奈川大学）
キーワード : 盲導犬ロボット，視覚環境認識，音声表現システム guide dog robot，visual scene recognition，voice expression system
This paper proposed a guide dog robot that can express visual environment by voice. The guide dog robot uses NIC, a combination of CNN and LSTM methods, to recognize the visual scene and generate captions. The generated ... more
Estimate Gaze Point of Table-Meeting Participants by Spherical Camera
論文No: ページ数: 7 日付: 2023/05/01
著者: Nurul Hidayah Rahim (Graduate School of Information Sciences, Hiroshima City University), Shigang Li (Graduate School of Information Sciences, Hiroshima City University)
キーワード : communication analysis，eye gaze estimation，spherical image，normalization
In this paper, we propose a method of estimating the gaze point of table-meeting participants by a spherical camera. Assuming participants are sitting around a table and observed by a spherical camera, multiple persons a ... more
Nonstationary Time Series Change Direction Forecast Method Using Improved Leading Indicator
論文No: ページ数: 9 日付: 2023/05/01
著者: 吉田 洋和（放送大学大学院文化科学研究科）
キーワード : 非定常時系列，先行インディケータ，緩勾配化，改良型正弦波インディケータ，変化方向 nonstationary time series，leading indicator，gentle slope，improved sine wave indicator，change direction
This paper presents a method for forecasting the change direction of nonstationary time series using the improved leading indicator. The leading indicator is a method developed by Ehlers that translates a time series mat ... more
Data science is the study of extracting knowledge and making inferences from data. Various data science techniques have been developed to manage, process, and use big/heterogeneous data. The most successful technique is ... more
Studies on electroencephalography-based brain computer interface (EEG-based BCI) has been widely studied since around 2000. In the studies, three methods, event-related desynchronization/synchronization (ERD/ERS) during ... more
This study aimed to test the efficacy of a mint-flavored mouthwash when it is used at bedtime for subsequent sleep in a field study setting, using a wristwatch-type heart rate (HR) monitoring devise. Using a within-subje ... more
In recent years, various studies on anthropometry using video images have been actively conducted. Of those applications, the measurement of eye movements is expected in fields such as medical care, and human interface. ... more
In this study, as a basic investigation for EEG-based visual image reconstruction, we investigated whether EEG signal features reflect shapes and colors of simple visual images which subjects viewed and whether the featu ... more
Analysis of Relationship Between Visual- and Auditory-Attention and Direction of Body Sway Induced by Neck Dorsal Muscle Stimulation Using Simultaneous Measurement of Attention and Body Sway
The direction of body sway induced by neck dorsal muscle stimulation can provide useful insights into roles of sensory information in human postural control. Previous studies suggest the existence of a common brain mecha ... more
Skeletal muscle is a set of motor units (MU). Muscle contractile activity is carried out by regulating the firing frequency of MU and the types of muscle fibers to be mobilized. Multi-channel surface electromyogram (sEMG ... more
We developed an analyzing system for tremor using the three-axis accelerometer built into the Wii Remote in 2008. We propose a theory of estimating the tremor amplitude and mounted it in our system. The aim of the study ... more
It is significant to evaluate the recruitment of fast twitch fibers quantitively in means of preventing sarcopenia. In a previous study, m-ch method was proposed to observe propagation wave which originates from action p ... more
This study examined the differences in functional brain network over time between different anxiety states and evaluated their usefulness in neural networks (NN). Seventeen young adults with high-anxiety and 13 young adu ... more
Estimation of the User Interest While Viewing Content on Smartphones Using Smart Devices Considering Viewing Conditions
論文No: ページ数: 7 日付: 2023/04/01
著者: 天田 知里（電気通信大学），水野 統太（電気通信大学），松本 悠佑（電気通信大学），水戸 和幸（電気通信大学），板倉 直明（電気通信大学），中島 太陽（（株）コアミックス），花田 健（（株）コアミックス）
キーワード : 興味度推定，生理的振戦，加速度センサ，レコメンドシステム estimation of user interest，physiological tremor，accelerometer，recommendation system
Conventional recommendation systems such as for books or movies are primarily based on purchase and browsing history, which do not reflect user evaluation. This study focuses on analyzing invisible and feeble physiologic ... more
To improve the proper diagnosis rate beyond that of sweep-frequency tympanometry for auditory ossicle examination, a new method adopting a stepwise-variable-frequency and a wide-band frequency of probe tones is proposed ... more
Many recommendation methods for cooking recipes are proposed in previous research. There are many studies on maximizing evaluation score on healthcare, but few studies on maximization under the limits on the cost of purc ... more
A Hierarchical Neural Network Model for Japanese Toward Detecting Mild Cognitive Impairment
論文No: ページ数: 6 日付: 2023/04/01
著者: 後藤 哲史（帝京平成大学 健康メディカル学部）
キーワード : 軽度認知障害，スクリーニング，ニューラルネットワーク，LSTM，自然言語処理 mild cognitive impairment，screening，neural netowork，long short term memory，natural language processing
We found that some signs of Mild Cognitive Impairment (MCI) might be presented in a structure of a sentence and a relation between sentences talked by a man, and develop a neural network model which has an analogy with t ... more
