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）

In this work, we have incorporated an electronic travel aid (ETA) as a smartphone application that alerts fall risks to the visually impaired. The application detects negative obstacles, such as platform edges and stairs, and occlusion using a grid map including height information to estimate fall risk based on the distance from an area’s edge to the user, and the area ratio. Here, we describe a grid map correction method based on the surrounding conditions of each cell to avoid area misclassification. The smartphone application incorporating this correction method was verified in environments similar to station platforms by evaluating its usefulness, robustness against environmental changes, and stability as a smartphone application. The verification results showed that the correction method is, in fact, useful in actual environments and can be implemented as a smartphone application.

DOI： 10.20965/jrm.2023.p0867

CiNii Research

その他リンク： http://id.ndl.go.jp/bib/032884385

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）

We have developed a fall risk alert system using a smartphone with a LiDAR sensor, Apple’s iPhone 12 Pro, as an electronic travel aid (ETA) for visually impaired to reduce fall risks from the edge of station platform and the stairs. The proposed system generates the height grid map generated from 3D point clouds and posture from the smartphone, and classify the walking area to four areas, walkable, positive obstacle, negative obstacle and occlusion areas. In this paper, we describe the algorithm and the experimental results of the environmental recognition system for the fall risk alert. In the experiments, the accuracy, stability, and time delay are evaluat-ed in approaching a fall risk area, such as stairs. The results show the smartphone has the possibility to be the ETA to support the visually impaired and reduce the fall risks.

DOI： 10.57417/jrnal.9.4_349

CiNii Research

その他リンク： https://kyutech.repo.nii.ac.jp/records/2000155

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（国際会議プロシーディングス）

日本   大分   2022年01月20日  -  2022年01月23日

We have developed the fall risk notification system using LiDAR sensors to reduce number of fall accidents on platform involving visually impaired people. In this paper, we report the experiment results of the environment recognition algorithm for the fall risk notification system. In this algorithm, height grid map is generated from the depth image from LiDAR sensor and the posture of iPhone. In the experiment, we evaluated the accuracy and responsivity when approaching risky area of falling, such as stairs.

DOI： 10.5954/icarob.2022.os27-2

CiNii Article

CiNii Research

その他リンク： https://kyutech.repo.nii.ac.jp/records/7488

記述言語：日本語   掲載種別：研究論文（大学，研究機関等紀要）

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）

日本   大分   2024年02月22日  -  2024年02月25日

The number of robots exiting in human living spaces has increased, and interaction between humans and robots has become an important issue. The purpose of this study is to propose a future society where humans, animals, and robots coexist. We organize relay race, or ekiden in Japanese, where they compete together as runners. The competition rules have been established to ensure that each runner can compete fairly. This paper explains the competition rules and discuss the fairness of the rules

DOI： 10.5954/icarob.2024.os20-14

CiNii Research

開催期間： 2024年05月29日 - 2024年06月01日   記述言語：日本語  

開催期間： 2023年09月08日 - 2023年09月10日   記述言語：日本語  

開催期間： 2022年05月20日 - 2022年05月22日   記述言語：日本語   開催地：鹿児島   国名：日本国  

開催期間： 2022年01月20日 - 2022年01月23日   記述言語：英語  

開催期間： 2021年06月06日 - 2021年06月08日   記述言語：日本語  

出願番号：特願2024-015344  出願日：2024年02月05日

研究区分：共同研究

研究区分：共同研究