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Sensor evaluation for hand grip strength

Journal Article


Abstract


  • This paper discusses the evaluation of the sensors used in the hand grip strength glove. The glove comprises of flex and force resisting sensors. Force resisting sensor determines the force applied by various parts of the palm, while the flex sensor determines the flexion of the fingers. These sensors are placed in a specific position on the glove to obtain correct data when the glove is used. The glove has two modes, which are pencil grip mode and object grip mode. The sensors determine which mode the glove is in depending on the gesture made. The glove is examined using a pencil and a cylindrical object to evaluate the strength of the grip. After gripping the object or pencil, the system evaluates the force applied using the sensors. This data is transferred to a computer for further analysis using a trained model. The model was able to achieve an accuracy of 90.8%

UOW Authors


  •   Biju, Soly Mathew. (external author)

Publication Date


  • 2022

Citation


  • Biju, S. M., & Sheikh, H. Z. (2022). Sensor evaluation for hand grip strength. International Journal of Electrical and Computer Engineering, 12(5), 4756-4764. doi:10.11591/ijece.v12i5.pp4756-4764

Scopus Eid


  • 2-s2.0-85135175960

Web Of Science Accession Number


Start Page


  • 4756

End Page


  • 4764

Volume


  • 12

Issue


  • 5

Place Of Publication


Abstract


  • This paper discusses the evaluation of the sensors used in the hand grip strength glove. The glove comprises of flex and force resisting sensors. Force resisting sensor determines the force applied by various parts of the palm, while the flex sensor determines the flexion of the fingers. These sensors are placed in a specific position on the glove to obtain correct data when the glove is used. The glove has two modes, which are pencil grip mode and object grip mode. The sensors determine which mode the glove is in depending on the gesture made. The glove is examined using a pencil and a cylindrical object to evaluate the strength of the grip. After gripping the object or pencil, the system evaluates the force applied using the sensors. This data is transferred to a computer for further analysis using a trained model. The model was able to achieve an accuracy of 90.8%

UOW Authors


  •   Biju, Soly Mathew. (external author)

Publication Date


  • 2022

Citation


  • Biju, S. M., & Sheikh, H. Z. (2022). Sensor evaluation for hand grip strength. International Journal of Electrical and Computer Engineering, 12(5), 4756-4764. doi:10.11591/ijece.v12i5.pp4756-4764

Scopus Eid


  • 2-s2.0-85135175960

Web Of Science Accession Number


Start Page


  • 4756

End Page


  • 4764

Volume


  • 12

Issue


  • 5

Place Of Publication