Experimental Dataset of Forearm Muscle Activity During Finger Movements Acquired with Dual Fiber Bragg Grating Sensors

# In the file s1s2_all_bragg.csv you can find Two-FBG Forearm Bracelet Signals for Volunteer and Finger Identification

This dataset contains experimental measurements acquired using two Fiber Bragg Grating (FBG) sensors positioned on the forearm for monitoring finger movements. Data were collected from 10 healthy participants performing controlled finger motion tasks.

The FBG sensors captured raw Bragg wavelength shifts associated with strain induced by forearm muscle contractions during finger activity. Signals from the two FBGs were synchronously recorded at a sampling rate of 50 Hz.

Dataset Characteristics

• Number of participants: 10

• Sensors: 2 FBG sensors

• Measured variable: Raw Bragg wavelength (no strain conversion applied)

• Sampling rate: 50 Hz

• Data type: Time-series signals

• Experimental setup: Forearm-mounted FBG sensors for muscle deformation monitoring similar to the one found in https://doi.org/10.1590/2179-10742023v22i1271724

Potential Applications

This dataset can support research and development in:

• Optical fiber sensing systems

• Wearable biomechanical monitoring

• Gesture recognition algorithms

• Human–machine interfaces

• Rehabilitation engineering

• Signal processing and feature extraction for muscle activity detection

Because the dataset provides raw wavelength measurements, it allows researchers to apply custom calibration procedures, strain conversion models, filtering strategies, and machine learning pipelines according to their specific research objectives.

The dataset enables investigation of inter-participant variability, inter-sensor correlation, and temporal characteristics of FBG-based forearm sensing during finger motion.

Please check the file README for more details.