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Optimisation of User Interaction and User Interface for Palm Recognition Systems

Klarén, Sophia LU and Lam, Evy LU (2025) MAMM01 20251
Ergonomics and Aerosol Technology
Abstract
Palm recognition is a biometric authentication method that uses the unique patterns of the palm for identification. The system requires users to position their
hands accurately for biometric data to be captured. This thesis aimed to design an interface that supports accurate hand placement. The design process
was conducted in three iterations, each including needs assessment, idea generation, prototype development, testing, and evaluation. Two versions of the prototype—one with a screen and one without—were developed in parallel. These
progressed step-by-step from low- to high-fidelity prototypes using tools such
as Visual Studio Code, OpenCV, and MediaPipe. Results showed consistent improvement throughout the iterations. The final... (More)
Palm recognition is a biometric authentication method that uses the unique patterns of the palm for identification. The system requires users to position their
hands accurately for biometric data to be captured. This thesis aimed to design an interface that supports accurate hand placement. The design process
was conducted in three iterations, each including needs assessment, idea generation, prototype development, testing, and evaluation. Two versions of the prototype—one with a screen and one without—were developed in parallel. These
progressed step-by-step from low- to high-fidelity prototypes using tools such
as Visual Studio Code, OpenCV, and MediaPipe. Results showed consistent improvement throughout the iterations. The final prototypes achieved average user
understanding scores of 4.75 and 4.86 out of 5, and System Usability Scores of
83.44 and 87.14 out of 100, respectively. The results indicate that the prototypes
offer high usability, provide a positive user experience, and successfully fulfill
the defined design objectives. (Less)
Please use this url to cite or link to this publication:
author
Klarén, Sophia LU and Lam, Evy LU
supervisor
organization
course
MAMM01 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Interaction Design, Biometrics, Palm Recognition, Usability Test, User Interface (UI), User Experience (UX)
language
English
id
9201750
date added to LUP
2025-06-18 13:58:05
date last changed
2025-06-18 13:58:05
@misc{9201750,
  abstract     = {{Palm recognition is a biometric authentication method that uses the unique patterns of the palm for identification. The system requires users to position their
hands accurately for biometric data to be captured. This thesis aimed to design an interface that supports accurate hand placement. The design process
was conducted in three iterations, each including needs assessment, idea generation, prototype development, testing, and evaluation. Two versions of the prototype—one with a screen and one without—were developed in parallel. These
progressed step-by-step from low- to high-fidelity prototypes using tools such
as Visual Studio Code, OpenCV, and MediaPipe. Results showed consistent improvement throughout the iterations. The final prototypes achieved average user
understanding scores of 4.75 and 4.86 out of 5, and System Usability Scores of
83.44 and 87.14 out of 100, respectively. The results indicate that the prototypes
offer high usability, provide a positive user experience, and successfully fulfill
the defined design objectives.}},
  author       = {{Klarén, Sophia and Lam, Evy}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Optimisation of User Interaction and User Interface for Palm Recognition Systems}},
  year         = {{2025}},
}