著者

木村 勉 神田 和幸 田中 久弥

出版者

一般社団法人電子情報通信学会

雑誌

電子情報通信学会技術研究報告. WIT, 福祉情報工学 (ISSN:09135685)

巻号頁・発行日

vol.107, no.61, pp.79-82, 2007-05-17

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画像認識型の弱点である情報の爆発を押さえ,手話入力装置として情報の爆発を抑えるモールディングによる手話の動作認識ができる装置の開発を提案する.まず,手話の動作学的解析から始め,手話の音韻表記辞書から動きをパターン化,基本パターンを持つ語彙を選択し,それらの語彙の入力・出力の予備実験を行う.

著者

近藤 蒼大 田中 久弥

出版者

日本感性工学会

雑誌

日本感性工学会論文誌 (ISSN:18845258)

巻号頁・発行日

vol.22, no.3, pp.217-228, 2023 (Released:2023-08-31)

参考文献数

21

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Steady-state visual evoked potential (SSVEP)-brain-computer interface (BCI) has fast input speeds, high accuracy, and a large number of inputs. The problem with SSVEP is the stress caused by flickering stimuli and the risk of developing photosensitivity. In this study, we attempted to reduce flicker stress by developing a high-frequency SSVEP-BCI. In addition, we measured the critical fusion frequency (CFF) at which humans cannot perceive flicker and investigated the change in BCI performance below and beyond CFF to examine the practicality of the high-frequency SSVEP-BCI. The results showed CFF was 56.8 Hz. Also, an accuracy of 58.75% for high-frequency (56-70 Hz) SSVEP-BCI and 90.5% for low-frequency (26-40 Hz) SSVEP-BCI. For this reason, the high-frequency SSVEP-BCI could not obtain the same performance as the low-frequency SSVEP-BCI. Therefore, it is necessary to consider the use of extremely low-frequency stimulation and improve the analysis algorithm in the future.

著者

栗原 龍之典 諸岡 遼 濵中 咲希 田中 久弥 馬原 孝彦 都河 明人 羽生 春夫

出版者

ヒューマンインタフェース学会

雑誌

ヒューマンインタフェース学会論文誌 (ISSN:13447262)

巻号頁・発行日

vol.21, no.1, pp.21-30, 2019-02-25 (Released:2019-02-25)

参考文献数

15

被引用文献数

1

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We have studied the screening tool for dementia patients using a P300-based spelling-BCI to develop a new cognitive function evaluation method. We quantified a low attention with dementia using the average distance from the incorrect characters to the correct characters on the Japanese alphabet screen. We called the character distance to Spelling-Error Distance Value (SEDV). We conducted experiments for 24 elderly subjects, and performed regression analysis between SEDV and neuropsychological testing (MMSE, FAB, TMT and DST). As the results, there was a significant negative correlation between MMSE and SEDV (r = −0.41, p < 0.05), and there was a significant negative correlation between FAB and SEDV (r = −0.65, p < 0.001). Next, 24 subjects divided into five groups according to the MMSE scores. There was a difference of SEDV 2.58 characters between MMSE average of 10.5 point group and MMSE average score of 27.6 point group, 2.89 characters between the 10.5 point group and the 24.9 point group. Therefore, SEDV could be an index of the low attention with dementia in the limited MMSE average group. In addition, because of significant negative correlation between FAB and SEDV in less than 24 point of MMSE (r = −0.95, p < 0.05), SEDV could be an index of frontal lobe function deterioration limitedly.

著者

堀込 徹郎 田中 久弥 井出 英人

出版者

The Institute of Electrical Engineers of Japan

雑誌

電気学会論文誌C(電子・情報・システム部門誌) (ISSN:03854221)

巻号頁・発行日

vol.122, no.9, pp.1645-1650, 2002-09-01 (Released:2008-12-19)

参考文献数

21

被引用文献数

3 3

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Recently, we are concerned with security because picking and imitation on computer network are increasing. Then, the approach to individual identification from biometric is expected, because it can realize high reliability and it's a natural method. This paper's proposition is to construct individual identification system with the facial skin thermogram (FST) which is robust about illumination condition. FST has no shadow with illumination because it catches infrared rays light and makes an image. Then, we extract individual feature from FST by image processing and examine evaluation method to identify individual. However, facial skin temperature is ruled by autonomous nerve system. Especially, nasal skin temperature is affected by a mental influence like stress and arousal level. And we limited identification object to the measurement of face image in the rest state. We applied two dimensional discrete fourier transform (2DDFT) as a method of extracting individual feature, because we tried to convert the individual feature of FST into spatial frequency feature. Afterwards, we identified individual by pattern matching. Identification experiment was done in 30 registered patterns and 200 input patterns, consequently correct acceptance rate 91.0[%] and correct rejection rate 91.0[%] was able to be obtained. Moreover, we confirmed individual feature appeared in low frequency element of FST.

著者

中園 嘉巳 田中 久弥 井出 英人

出版者

バイオメカニズム学会

雑誌

バイオメカニズム学会誌 (ISSN:02850885)

巻号頁・発行日

vol.27, no.1, pp.23-28, 2003-02-01

被引用文献数

1

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指タッピング法を用いて,予測ボタン押し動作における予測精度を測定した.被験者には,ブザー音が周期的(インターバル:0.8,1.1,1.3,1.9秒)に繰り返し呈示され,a)音を聞きながら,あるいはb)音に合わせてボタンを押しながら,最後のブザー音の後に予測したインターバルの経過を待って,指でボタンを押すように指示された.ボタンが押されるまでの時間が予測時間として,インターバルの実時間との差が予測誤差として測定された.結果,被験者15名において,インターバルの長さと予測誤差の大きさとに相関が認められた.その内9名では,インターバル1.9秒において予測時間が実時間より10%を越えて有意に減少した.音に合わせたボタン押し動作を伴った場合b),対照例a)と比較して,予測時間の変動係数(CV)が有意に減少した.つまり,周期的運動を行うことによって予測時間の精度が向上した.この結果は,心理学的時間知覚と生理学的周期運動との連関を示唆する.