Wearable Arm Strength Supporter based on Adjustable Counterbalance Mechanism using a Spring Latch Module

Kyung Nam Kim, Won Bum Lee, Do Won Kim, Jae Bok Song

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    In industrial fields, arm strength supporting devices for workers have been developed to improve work efficiency and prevent injuries caused by muscle fatigue during repeated tasks. A device supporting arm strength based on an adjustable counterbalance mechanism with no motor or sensor has been previously developed, but it had a disadvantage in that the compensation torque adjustment is difficult during the tasks. To solve this problem, we suggest a mechanism which can easily adjust the compensation torque by using a spring-latch module. The adjustable counterbalance-based arm strength supporter (ACASS) using a spring-latch module provides two compensation torque modes which can be switched with simple shoulder movements. The muscle strength was measured by electromyography sensors to verify the performance and convenience of the ACASS. It is shown that the switching of compensation torque of the proposed ACASS is much faster and easier than that of the previous devices.

    Original languageEnglish
    Title of host publication2022 19th International Conference on Ubiquitous Robots, UR 2022
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages94-97
    Number of pages4
    ISBN (Electronic)9781665482530
    DOIs
    Publication statusPublished - 2022
    Event19th International Conference on Ubiquitous Robots, UR 2022 - Jeju, Korea, Republic of
    Duration: 2022 Jul 42022 Jul 6

    Publication series

    Name2022 19th International Conference on Ubiquitous Robots, UR 2022

    Conference

    Conference19th International Conference on Ubiquitous Robots, UR 2022
    Country/TerritoryKorea, Republic of
    CityJeju
    Period22/7/422/7/6

    Bibliographical note

    Publisher Copyright:
    © 2022 IEEE.

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Hardware and Architecture
    • Mechanical Engineering
    • Control and Optimization

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