food texture measurement data and sensory evaluation data

Citation Author(s):
Hiroyuki
Nakamoto
Submitted by:
Hiroyuki Nakamoto
Last updated:
Tue, 05/14/2024 - 19:29
DOI:
10.21227/h7st-rm86
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Abstract 

This dataset is for food texture prediction and includes measurement data of force, vibration, sound, moisture, and sensory evaluation data. The number of samples is 21 and the sample size is 10. First, a measurement system recorded the force, vibration, and sound pressure data during food compression. The moisture rate of food was also measured by a moisture meter. Second, signal processing reduced noise in the measurement data. This dataset includes the processed measurement data and template data. This dataset also has summarized sensory evaluation data of 10 participants. They evaluated nine textures of 21 samples by quantitative descriptive analysis.

Instructions: 

The measurement data are force, vibration, sound, and moisture rate. "sensory.csv" is summarized sensory evaluation data.
mes_force.csv, mes_vibration.csv: 10 times x 21 samples x 8000 time (ms)
mes_sound.csv: 10 times x 21 samples x 31 frequency bands
mes_moisture.csv: 21 samples x 8000 time (s)
sensory.csv: 9 textures x 21 samples