Development of a Fiber Optic Grip Force Sensor for fMRI-Based Human Motor Control Studies

Magnetic Resonance (MR)-compatible grip force sensors are increasingly used in human motor control studies, offering fast, high resolution and sensitive behavioral measurements. In neuroscience studies, force and position sensors enable haptic device control and safe human interaction in MR environments. This paper presents a low-cost, lightweight, and accurate fiber optic grip force sensor with a compliant 3Dprinted structure. Capable of measuring grip force (0-500 N) in and out of MRI settings, it utilizes intensity-modulated fiber optics to detect light intensity changes from the compliant structure's elastic deformation, converting force into horizontal displacement. Test results show that both fiber optic grip force sensor prototypes exhibit a highly linear force-to-voltage relationship, with accuracy levels of 2% for PLA and 5.3% for TPU; both exhibit high precision, fast response, and a wide force range. The TPU-based model achieves a sensitivity of 0.001 V/N, and with a 10-bit ADC, it offers a resolution of 0.195 N—making it well-suited for human motor control studies.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/fleps65444.2025.11105645
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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article

Development of a Fiber Optic Grip Force Sensor for fMRI-Based Human Motor Control Studies

Winncy Y. Du, Beldanin Aslani Takieh
EEG and Brain-Computer Interfaces
article

Development of a Fiber Optic Grip Force Sensor for fMRI-Based Human Motor Control Studies

Winncy Y. Du, Beldanin Aslani Takieh
article en

Abstract

Magnetic Resonance (MR)-compatible grip force sensors are increasingly used in human motor control studies, offering fast, high resolution and sensitive behavioral measurements. In neuroscience studies, force and position sensors enable haptic device control and safe human interaction in MR environments. This paper presents a low-cost, lightweight, and accurate fiber optic grip force sensor with a compliant 3Dprinted structure. Capable of measuring grip force (0-500 N) in and out of MRI settings, it utilizes intensity-modulated fiber optics to detect light intensity changes from the compliant structure's elastic deformation, converting force into horizontal displacement. Test results show that both fiber optic grip force sensor prototypes exhibit a highly linear force-to-voltage relationship, with accuracy levels of 2% for PLA and 5.3% for TPU; both exhibit high precision, fast response, and a wide force range. The TPU-based model achieves a sensitivity of 0.001 V/N, and with a 10-bit ADC, it offers a resolution of 0.195 N—making it well-suited for human motor control studies.

San Jose State University (US)
Openalex Percentile: Top 80%
EEG and Brain-Computer Interfaces
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