Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

12 Scopus Citations
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Author(s)

  • Fei Fei
  • Sifan Xian
  • Xiaojian Xie
  • Changcheng Wu
  • Dehua Yang
  • Kuiying Yin

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number362
Journal / PublicationMicromachines
Volume12
Issue number4
Online published27 Mar 2021
Publication statusPublished - Apr 2021

Link(s)

Abstract

In traditional hand function assessment, patients and physicians always need to accomplish complex activities and rating tasks. This paper proposes a novel wearable glove system for hand function assessment. A sensing system consisting of 12 nine-axis inertial and magnetic unit (IMMU) sensors is used to obtain the acceleration, angular velocity, and geomagnetic orientation of human hand movements. A complementary filter algorithm is applied to calculate the angles of joints after sensor calibration. A virtual hand model is also developed to map with the glove system in the Unity platform. The experimental results show that this glove system can capture and reproduce human hand motions with high accuracy. This smart glove system is expected to reduce the complexity and time consumption of hand kinematics assessment.

Research Area(s)

  • Data glove, Hand rehabilitation, Inertial sensors, Kinematics evaluation

Citation Format(s)

Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment. / Fei, Fei; Xian, Sifan; Xie, Xiaojian et al.
In: Micromachines, Vol. 12, No. 4, 362, 04.2021.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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