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アイテム
Disease Estimation Based on Gait Images by Separating Individual Features Using Variational Autoencoder
http://hdl.handle.net/10228/0002001254
http://hdl.handle.net/10228/00020012542e509c6d-e40a-4a8f-8283-b7678d9df4d4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
10444568.pdf (2.6 MB)
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2025-02-06 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Disease Estimation Based on Gait Images by Separating Individual Features Using Variational Autoencoder | |||||||||||
| 言語 | en | |||||||||||
| 著者 |
Furukawa, Shiori
× Furukawa, Shiori
× 武村, 紀子
WEKO
35569
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | With the ageing of society, the number of patients with gait disturbance is increasing. Lumbar canal stenosis (LCS) and cervical spondylotic myelopathy (CSM) are representative diseases that cause gait disturbance. This study proposes a method to recognize LCS and CSM using the patient’s gait video. However, the gait images of a patient contain not only disease features but also individual features such as body shape and hairstyle. Such individual features may reduce the accuracy of disease estimation. Therefore, we aim to achieve highly accurate disease estimation by separating and removing individual features from disease features using a variational autoencoder (VAE). In addition, we performed personal authentication on the latent variables extracted by the proposed method and verified whether it performs the classification of individual features. | |||||||||||
| 言語 | en | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | 29th International Symposium on Artificial Life and Robotics, AROB 29th 2024, January 24-26, 2024, B-Con PLAZA, Beppu, JAPAN and ONLINE (Zoom) | |||||||||||
| 言語 | en | |||||||||||
| 書誌情報 |
発行日 2024-01 |
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| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | gait | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | disease estimation | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | image processing | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | VoR | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
| 会議記述 | ||||||||||||
| 会議名 | 29th International Symposium on Artificial Life and Robotics, AROB 29th 2024 | |||||||||||
| 言語 | en | |||||||||||
| 回次 | 29 | |||||||||||
| 開始年 | 2024 | |||||||||||
| 開始月 | 01 | |||||||||||
| 開始日 | 24 | |||||||||||
| 終了年 | 2024 | |||||||||||
| 終了月 | 01 | |||||||||||
| 終了日 | 26 | |||||||||||
| 開催国 | JPN | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100001540_ja.html | |||||||||||
| 論文ID（連携） | ||||||||||||
| 値 | 10444568 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 12689 | |||||||||||
