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Design and Usability Evaluation of a Tremor-Stabilizing Spoon System for Individuals with Hand Tremor

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Author(s)
Nagyeong Ham
Type
Thesis
Degree
Master
Department
정보컴퓨팅대학 AI융합학과(지능로봇프로그램)
Advisor
Kang, Jiyeon
Abstract
A tremor-stabilizing spoon system can support independent eating in older adults
and individuals with upper-limb tremor by reducing unwanted motion during food
transfer. The proposed system uses a 2-DOF stabilization mechanism that targets roll
and pitch axis motion of the spoon. Tremor-related angular motion is detected using
an IMU sensor, and the estimated roll and pitch errors are compensated by DC motor
actuation to reduce vibration at the spoon head. To improve the practicality of the sys
tem as an assistive device, the electronic circuits and components required for system
operation were integrated into a single printed circuit board, while the housing was
fabricated using 3D printing to enhance accessibility and ease of modification. System
performance was first validated using bench test under controlled vibration conditions.
The results confirmed the basic tremor reduction capability of the proposed system.
Roll-axis stabilization was achieved from 1 to 4 Hz, with a maximum vibration re
duction of approximately 70%. Pitch-axis stabilization was achieved from 1 to 3 Hz,
with a maximum vibration reduction of approximately 40%. These results indicate that
the prototype can provide measurable vibration attenuation within the low-frequency
tremor range under controlled experimental conditions. A user evaluation was also con
ducted with two participants with hand tremor. Task performance, subjective work
load, satisfaction, and user feedback were evaluated under Ordinary spoon, System
OFF, and System ON conditions. The proposed prototype demonstrates the feasibil
ity of a low-cost 2-DOF tremor-stabilizing spoon and provides an initial validation– i
framework combining quantitative bench test and user evaluation
URI
https://scholar.gist.ac.kr/handle/local/34493
Fulltext
http://gist.dcollection.net/common/orgView/200001034224
Alternative Author(s)
함나경
Appears in Collections:
Dept. of AI > 3. Theses(Master)
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