지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.12
- 수록면
- 419 - 434 (16page)
- DOI
- 10.5143/JESK.2019.38.6.419
이용수
초록· 키워드
오류제보하기
Objective: Based on the 3D motion capture system, this study aims to determine the optimum position of IMU sensor used in dynamic balance evaluation.
Background: Dynamic balancing ability refers to the ability to balance while maintaining the center of gravity while the body is moving. Low dynamic balancing capabilities increase the likelihood of falls. Recently, research on the dynamic balance of the body using the miniaturized IMU sensor is actively underway. However, the existing dynamic balance studies have different IMU sensor attachment locations, and the study comparing and evaluating the accuracy of the evaluation results according to the IMU sensor attachment location is few.
Method: Timed Up and Go (TUG) evaluation was performed on six adults of different body sizes. The location of IMU sensors was selected from the literature survey by seven places (Sternum, L2, S2, Wrist and Shank) which are mainly used for dynamic balance assessment. The comparative analysis was performed by deriving the absolute error rate of the TUG evaluation between the 3D motion capture system and the 7 IMU sensors, the performance time of each stage of the TUG evaluation, walking speed, average walking time, and average walking time.
Results: TUG evaluation overall performance time absolute percentage error was the lowest at 1.4% in the middle of the sternum. The absolute percentage error for performing sub-task of the TUG evaluation was similar to 7.9% and 7.5%, respectively, at the sternum and at the L2. The absolute percentage error of the mean walking speed was the lowest on L2 (4.6%). The mean step time absolute percentage error was similar to 2.7%, 2.8%, and 2.9%, respectively, in the trunk (Sternum, L2 and S2). The absolute percentage error of the mean stride time was the lowest at 1.7 percent at L2.
Conclusion: The absolute percentage error tends to be relatively small when attaching an IMU sensor to the trunk (Sternum, L2 and S2) during dynamic balance evaluation in laboratory environments.
Application: The results of this study can be used as a basic data for considering the location of IMU sensors in the study of dynamic balance based on IMU sensor.
Background: Dynamic balancing ability refers to the ability to balance while maintaining the center of gravity while the body is moving. Low dynamic balancing capabilities increase the likelihood of falls. Recently, research on the dynamic balance of the body using the miniaturized IMU sensor is actively underway. However, the existing dynamic balance studies have different IMU sensor attachment locations, and the study comparing and evaluating the accuracy of the evaluation results according to the IMU sensor attachment location is few.
Method: Timed Up and Go (TUG) evaluation was performed on six adults of different body sizes. The location of IMU sensors was selected from the literature survey by seven places (Sternum, L2, S2, Wrist and Shank) which are mainly used for dynamic balance assessment. The comparative analysis was performed by deriving the absolute error rate of the TUG evaluation between the 3D motion capture system and the 7 IMU sensors, the performance time of each stage of the TUG evaluation, walking speed, average walking time, and average walking time.
Results: TUG evaluation overall performance time absolute percentage error was the lowest at 1.4% in the middle of the sternum. The absolute percentage error for performing sub-task of the TUG evaluation was similar to 7.9% and 7.5%, respectively, at the sternum and at the L2. The absolute percentage error of the mean walking speed was the lowest on L2 (4.6%). The mean step time absolute percentage error was similar to 2.7%, 2.8%, and 2.9%, respectively, in the trunk (Sternum, L2 and S2). The absolute percentage error of the mean stride time was the lowest at 1.7 percent at L2.
Conclusion: The absolute percentage error tends to be relatively small when attaching an IMU sensor to the trunk (Sternum, L2 and S2) during dynamic balance evaluation in laboratory environments.
Application: The results of this study can be used as a basic data for considering the location of IMU sensors in the study of dynamic balance based on IMU sensor.
목차
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusion
References
참고문헌 (41)
참고문헌 신청
Juan Carlos Alvarez / 2012 / Pedestrian Navigation Based on a Waist-Worn Inertial Sensor / Sensors 12(8):10536~10549
V. Belluscio / 2019 / Dynamic balance assessment during gait in children with Down and Prader-Willi syndromes using inertial sensors / Human Movement Science 63:53~61
Berg, K. O. / 1992 / Clinical and laboratory measures of postural balance in an elderly population / Archives of Physical Medicine and Rehabilitation 73(11):1073~1080
James Beyea / 2017 / Convergent Validity of a Wearable Sensor System for Measuring Sub-Task Performance during the Timed Up-and-Go Test / Sensors 17(4):934
Chiari, L. / 2011 / Wearable systems with minimal set-up for monitoring and training of balance and mobility / 33rd Annual International Conference of the IEEE EMBS Boston :5828~5832
V. Belluscio / 2019 / Dynamic balance assessment during gait in children with Down and Prader-Willi syndromes using inertial sensors / Human Movement Science 63:53~61
Berg, K. O. / 1992 / Clinical and laboratory measures of postural balance in an elderly population / Archives of Physical Medicine and Rehabilitation 73(11):1073~1080
James Beyea / 2017 / Convergent Validity of a Wearable Sensor System for Measuring Sub-Task Performance during the Timed Up-and-Go Test / Sensors 17(4):934
Chiari, L. / 2011 / Wearable systems with minimal set-up for monitoring and training of balance and mobility / 33rd Annual International Conference of the IEEE EMBS Boston :5828~5832
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