文献一覧: 中内靖 (著者)

今までロボットは、産業用などある特定の分野に限って用いられ発展してきた。しかし、近年におけるロボット技術の進歩には目を見張るものがあり、産業用ロボットだけにとどまらず、オフィスや一般家庭でのロボット使用の要求が高まりつつある。ロボットは、商品を運ぶといった、従来の計算機では扱えなかった物理世界を直接操作することができる。そして、複数台のロボットを利用することにより、1台のロボットでは時間やコストのかかるであろうタスクを他のロボットに効率良く実行することができるようになる。ところが、自律移動ロボットにおける物理世界を直接扱うタスクの割り当てでは、物体の受渡しなど、従来考慮されていた要素だけでなく、物理的なタスクに固有な要素をも考慮したアルゴリズムが必要である。そこで本研究では、複数台の移動ロボットが存在する環境において、物理的な要素を考慮したタスク割り当てアルゴリズムを提案する。また、シミュレーションによる評価結果を報告する。

2019-03-16 06:30:19
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https://ci.nii.ac.jp/naid/110002888264

1 0 0 0 OA ベッド上からの転倒・転落予防に向けた体動変化解析手法の提案

著者: 荒木大地長田拓也中内靖川口孝泰
出版者: 一般社団法人日本機械学会
雑誌: 日本機械学会論文集 (ISSN:21879761)
巻号頁・発行日: vol.83, no.856, pp.17-00210-17-00210, 2017 (Released:2017-12-25)
参考文献数: 33

Falling from the bed is a common type of accident and places considerable burdens on patients and nurses. Structural and risk factors for the occurrence of falls have been identified, but fall prevention remains extremely difficult due to the patient’s physical, mental, and social factors and treatment environment. Most fall prevention measures involve ascertaining the risk of falls through the use of risk assessment score sheets and bed sensors, but there are few measures for active fall prediction. To develop a method for fall prediction, we applied area trajectory analysis and spectrum analysis to the characteristics of center-of-gravity variation in certain movements. We used these analysis methods and applied Support Vector Machine (SVM) that is one of the methods of machine learning. Experiments were performed with 5 healthy male and female. Each participant performed 3 movements, Reach out, Bed rail and Active, on a bed for 1 min each, during which time-series data on center-of-gravity variation were recorded. In the micro-average about unknown data, the Precision rate was 90.6%. To evaluate the movements respectively, Active were both higher in Precision rate and Recall rate. However in the Reach out has low Precision rate and that likely cause misinformation, in the Bed rail has low Recall rate and that likely cause overlook. The results of this study suggest the possibility of fall prediction through center-of-gravity analysis. In the next step about this study, need to explore the discriminate about static posture and improvement in accuracy by increasing the learning data.

2018-02-19 14:12:07
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1 0 0 0 OA インテリジェント・コップによる服薬指導支援システムの提案

著者: 長田拓也鈴木拓央中内靖
出版者: 一般社団法人日本機械学会
雑誌: 日本機械学会論文集 (ISSN:21879761)
巻号頁・発行日: vol.83, no.853, pp.17-00118-17-00118, 2017 (Released:2017-09-25)
参考文献数: 9

Since medicine treatment is one of the most major and effective cure methods, many patients take medicine every day. On the other hand, patients sometimes have serious accidents because some of them do not follow correct medicine dosing method (i.e. taking medicine without enough quantity of water). Though it may result serious accidents, in general, their doctors cannot notice the above-mentioned facts. In this paper, we propose a sensor-embedded intelligent cup that provides instructions for correct dosing and a medicine instruction support system using it. The proposed cup is the dual structure of a tumbler equipped with water level and acceleration sensors. The cup can detect if enough quantity of water is in it before a user takes medicine by using the water level sensor. We developed a calibration method for the water level sensor and implement it so that the quantity of water can be measured on any temperature. The cup can also detect if a user has taken medicine with the enough quantity of water from the cup by SVM (Support Vector Machine) using data of the acceleration sensor. Furthermore, the cup can also detect the quantity of water left in the cup using the acceleration sensor. The system will also provide the dosing history (i.e. when the dosing has conducted) to a user's caregivers (care giver and family in distant) through web interface. We conducted experiments and confirmed the positive effect of the proposed intelligent medicine cup.

2017-10-20 20:12:35
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1 0 0 0 OA 駅ホームにおける安全歩行を支援するインテリジェント白杖に関する研究

著者: 中山尚也中内靖
出版者: 一般社団法人日本機械学会
雑誌: 日本機械学会論文集 (ISSN:21879761)
巻号頁・発行日: vol.83, no.850, pp.16-00383-16-00383, 2017 (Released:2017-06-25)
参考文献数: 10

When visually impaired persons use general traffic facilities, they may face a lot of difficulties. Particularly, the accidents on the station platform may result serious injuries. One of the solutions is to install a platform door, which opens only when a train is at the station. However, the cost for the installation is very expensive. Also, if a different railroad companies use the same station, it usually cannot be installed. In this paper, we propose a safe walk support system at the station platform by sensor embedded intelligent white cane. Two functions will be realized by the intelligent white cane. It tells the direction of the platform even though a person lost a direction. It also senses a color on the ground and tells the position of the train door. We conducted experiments with subjects and confirmed the efficiency of the proposed system.

2017-08-18 17:12:57
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1 0 0 0 マルチエージェント・フレームワークに基づく協調作業支援システムに関する研究

著者: 中内靖
出版者: 慶應義塾大学
巻号頁・発行日: 1993

博士論文

2017-05-06 10:40:54
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1 0 0 0 調理作業の予測と支援

著者: 中内靖
出版者: 一般社団法人日本機械学会
雑誌: 日本機械学會誌 = Journal of the Japan Society of Mechanical Engineers (ISSN:00214728)
巻号頁・発行日: vol.109, no.1056, pp.880-882, 2006-11-05
参考文献数: 5

2017-05-06 10:40:54
1 + 1 Wikipedia

https://ci.nii.ac.jp/naid/110004857030

1 0 0 0 OA 摂食・生体情報のライフログコンテンツ化による生活習慣改善支援システム

著者: 中内靖
巻号頁・発行日: 2012

2013-03-26 08:31:07
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http://hdl.handle.net/2241/118725