- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
The Evaluation of Lifting Posture using Pose Estimation and Simple Floor Reaction Force Measurement
-
- Saito Moemi
- Ritsumeikan University, Shiga, Japan
-
- Okada Shima
- Ritsumeikan University, Shiga, Japan
-
- Wang Tianyi
- Ritsumeikan University, Shiga, Japan
-
- Makikawa Masaaki
- Ritsumeikan University, Shiga, Japan
Bibliographic Information
- Other Title
-
- 骨格推定とフォースセンサを用いた持ち上げ姿勢の評価
Search this article
Description
<p>There are few systems that can evaluate optimal posture for evaluating the risk of back pain and joint pain. In this study, we examined whether it is possible to evaluate the lifting posture with low constraint using pose estimation using a video-image and a floor reaction force.Six subjects (22.5 ± 1.0 years old) lifted 0kg and 15kg boxes. We used three indices for evaluating lifting posture: maximum joint torque, joint angle, and center of pressure (COP). The subjects were categorized into good and bad lifting postures from the movies in advance.As the results, for the 15kg lifting experiment, the time of maximum joint torque showed low similarity, the knee joint angle showed a significant difference between good and bad lifting postures, and COP showed little changes and high reproducibility in the good posture.In conclusion, joint angle and COP showed feasibility for evaluating good and bad lifting postures.</p>
Journal
-
- Transactions of Japanese Society for Medical and Biological Engineering
-
Transactions of Japanese Society for Medical and Biological Engineering Annual59 (Abstract), 364-364, 2021
Japanese Society for Medical and Biological Engineering
- Tweet
Details 詳細情報について
-
- CRID
- 1390008290064116224
-
- NII Article ID
- 130008105292
-
- ISSN
- 18814379
- 1347443X
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed