评估布上传感器与皮肤上传感器测量躯干和上臂姿势与运动的效果。

Evaluation of In-Cloth versus On-Skin Sensors for Measuring Trunk and Upper Arm Postures and Movements.

机构信息

Department of Mechatronics, École Normale Supérieure de Rennes, 35170 Bruz, France.

Laboratoire SATIE, CNRS UMR 8029, École Normale Supérieure de Rennes, 35170 Bruz, France.

出版信息

Sensors (Basel). 2023 Apr 13;23(8):3969. doi: 10.3390/s23083969.

Abstract

Smart workwear systems with embedded inertial measurement unit sensors are developed for convenient ergonomic risk assessment of occupational activities. However, its measurement accuracy can be affected by potential cloth artifacts, which have not been previously assessed. Therefore, it is crucial to evaluate the accuracy of sensors placed in the workwear systems for research and practice purposes. This study aimed to compare in-cloth and on-skin sensors for assessing upper arms and trunk postures and movements, with the on-skin sensors as the reference. Five simulated work tasks were performed by twelve subjects (seven women and five men). Results showed that the mean (±SD) absolute cloth-skin sensor differences of the median dominant arm elevation angle ranged between 1.2° (±1.4) and 4.1° (±3.5). For the median trunk flexion angle, the mean absolute cloth-skin sensor differences ranged between 2.7° (±1.7) and 3.7° (±3.9). Larger errors were observed for the 90th and 95th percentiles of inclination angles and inclination velocities. The performance depended on the tasks and was affected by individual factors, such as the fit of the clothes. Potential error compensation algorithms need to be investigated in future work. In conclusion, in-cloth sensors showed acceptable accuracy for measuring upper arm and trunk postures and movements on a group level. Considering the balance of accuracy, comfort, and usability, such a system can potentially be a practical tool for ergonomic assessment for researchers and practitioners.

摘要

具有嵌入式惯性测量单元传感器的智能工作服系统被开发出来,用于方便地对职业活动进行人体工程学风险评估。然而,其测量精度可能会受到潜在的织物伪影的影响,这些伪影尚未得到评估。因此,评估工作服系统中传感器的准确性对于研究和实践目的至关重要。本研究旨在比较用于评估上臂和躯干姿势和运动的内置传感器和皮肤外传感器,以皮肤外传感器为参考。十二名受试者(七名女性和五名男性)完成了五项模拟工作任务。结果表明,中位数主导手臂抬高角度的中值(±SD)绝对织物-皮肤传感器差异在 1.2°(±1.4)和 4.1°(±3.5)之间。对于中位数躯干弯曲角度,中值绝对织物-皮肤传感器差异在 2.7°(±1.7)和 3.7°(±3.9)之间。在倾斜角和倾斜速度的第 90 百分位和第 95 百分位观察到更大的误差。性能取决于任务,并受到个体因素的影响,例如衣服的合身度。在未来的工作中需要研究潜在的误差补偿算法。总之,在组水平上,内置传感器在测量上臂和躯干姿势和运动方面具有可接受的准确性。考虑到准确性、舒适性和可用性的平衡,这种系统有可能成为研究人员和从业者进行人体工程学评估的实用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a8f/10142577/0342cead0b4b/sensors-23-03969-g001.jpg

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