Driving Segway: A Musculoskeletal Investigation
Segways offer elderly users an opportunity to increase their mobility range and may also be useful as a training device. As of yet, very little is known about muscular activity during Segway use. Hence, the aim of this pilot study was to investigate the muscular strain during the use of Segways. For this purpose, 15 study participants were equipped with electromyography (EMG) measuring devices on rectus femoris, biceps femoris, tibialis anterior and biceps brachii of the right half of the body. Following maximum strength tests, the participants completed a defined course once on foot and three times on a Segway. The averaged EMG data during walking and Segway use were compared. The results show that the use of Segways leads to muscle activity. No statistically significant differences were found between the average muscular strain of the lower body muscles caused by walking and using a Segway. The systematic use of Segways may be an attractive option for the development of physical training programs to prevent falls.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030205027
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Supplemental Notes:
- © Springer Nature Switzerland AG 2020.
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Corporate Authors:
Springer International Publishing
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Authors:
- Berti, Zavier
- Rasche, Peter
- Chauvet, Robert
- Wille, Matthias
- Rick, Vera
- Barton, Laura
- Hellig, Tobias
- Schäfer, Katharina
- Bröhl, Christina
- Theis, Sabine
- Brandl, Christopher
- Nitsch, Verena
- Mertens, Alexander
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Conference:
- International Conference on Human Factors in Transportation (AHFE 2019)
- Location: Washington DC, United States
- Date: 2019-7-24 to 2019-7-28
- Publication Date: 2019-6
Language
- English
Media Info
- Media Type: Web
- Edition: 1
- Features: References;
- Pagination: pp 585-595
- Monograph Title: Advances in Human Factors of Transportation: Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation, July 24-28, 2019, Washington D.C., USA
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Serial:
- Advances in Intelligent Systems and Computing
- Volume: 964
- Publisher: Springer International Publishing
- ISSN: 2194-5357
- Serial URL: http://link.springer.com/bookseries/11156
Subject/Index Terms
- TRT Terms: Aged; Back; Musculoskeletal system; Physical condition; Scooters
- Identifier Terms: Segway Human Transporter
- Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01880630
- Record Type: Publication
- ISBN: 9783030205027
- Files: TRIS
- Created Date: Apr 21 2023 9:51AM