Evidence map›Paper›PMID 40692811›Full record

ArticleWearable technologies2025

A soft 3-DOF interaction force measurement system for estimating the biomechanical effects of a soft wearable robot on the human joint.

Seongyun Cho, Byungjun Jeon, Minki Kim, Seongok Chae, Seungmin Ye, Yoo-Jin Jun, Yong-Lae Park, Hyung-Soon Park

Abstract read
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Article in Wearable technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Seongyun ChoDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Byungjun JeonDepartment of Mechanical Engineering, Seoul National University, Seoul, Republic of Korea.
Minki KimDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0008-6756-0228
Seongok ChaeDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-2901-1956
Seungmin YeDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0002-5000-6980
Yoo-Jin JunDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0006-2925-8939
Yong-Lae ParkDepartment of Mechanical Engineering, Seoul National University, Seoul, Republic of Korea.
Hyung-Soon ParkDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0003-4274-7420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in wearable robots have focused on developing soft, compliant, and lightweight structures to provide comfort for the users and to achieve the primary function of assisting body motions. The interaction forces induced by physical human-robot interaction (pHRI) not only cause skin discomfort or pain due to relatively high localized pressures but also degrade the wearability and the safety of the wearer's joints by unnaturally altering the joint reaction forces (JRFs) and the joint reaction moments (JRMs). Although the correlation between excessive JRFs/JRMs and joint-related conditions has been reported by researchers, the biomechanical effects of forces and moments caused by the pHRI of a wearable robot on the wearer's joints remain under-analyzed. In this study, we propose a method of measuring and analyzing these interactions and effects, using a custom-designed soft, three-degree-of-freedom (DOF) force sensor. The sensor is made of four Hall effect sensors and a neodymium magnet embedded in a silicone elastomer structure, enabling simultaneous measurement of normal and two-axis shear forces by detecting the distance changes between the magnet and each Hall effect sensor. These sensors are embedded in contact pads of a commercial wearable robot and measure the interaction forces, used for calculating JRF and JRM. We also propose a modified inverse dynamics approach that allows us to consider the physical interactions between the robot and the human body. The proposed method of sensing and analysis provides the potential to enhance the design of future wearable robots, ensuring long-term safety.

Indexed as

biomechanicsexosuitforce sensorsinteraction forcephysical human-robot interactionwearable robot

Identifiers

PMID40692811
PMCPMC12277210

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.