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

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Human-Computer Interaction

Background:

• Traditional hand function assessments are often complex and time-consuming for patients and clinicians.
• There is a need for more efficient and accurate methods to evaluate hand kinematics.

Purpose of the Study:

• To develop and validate a novel wearable glove system for objective hand function assessment.
• To simplify and reduce the time required for hand kinematics evaluation.

Main Methods:

• A wearable glove system equipped with 12 nine-axis inertial and magnetic unit (IMMU) sensors was developed.
• A complementary filter algorithm was employed for joint angle calculation post-sensor calibration.
• A virtual hand model was created on the Unity platform to correspond with the glove system.

Main Results:

• The developed glove system demonstrated high accuracy in capturing and reproducing human hand motions.
• Experimental results validated the system's capability for precise hand movement tracking.

Conclusions:

• The smart glove system offers a promising solution for reducing the complexity and time associated with hand function assessment.
• This technology has the potential to improve the efficiency and objectivity of clinical evaluations of hand kinematics.