Silent Signals: Correlating Plant Bioelectric Activity with Human Emotional States via Wearable Sensing
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biomimetics-11-00236.pdf
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2.06 MB
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Adobe PDF
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2c1e4a2b7208289b41436d9e65414398
Author(s)
Gloor, Peter A.
Date Issued
April 2, 2026
Journal
Biomimetics
Publisher
MDPI
Citation
Gloor, P. A. (2026). Silent Signals: Correlating Plant Bioelectric Activity with Human Emotional States via Wearable Sensing. Biomimetics, 11(4), 236.
Version
Final published version
Abstract
We present a bio-hybrid sensing system that uses a living plant (Tradescantia pallida) as an ambient biosensor for human stress states as a single-participant proof-of-concept study. An AD8232 biosignal amplifier captures plant bioelectric activity, while a Happimeter smartwatch simultaneously measures the wearer’s mood via machine learning on wrist-worn sensor data. Over 129 paired observations across eleven days in a naturalistic desk-work setting, a within-day fixed-effects analysis reveals robust stress–plant coupling: seven correlations survive Benjamini–Hochberg false discovery rate correction (q = 0.05), with two also surviving Bonferroni correction. The strongest results are stress_rolling vs. plant mean (r = +0.36, p = 3.3 × 10−5) and RMS (r = +0.34, p = 7.8 × 10−5). An incidental electrode reattachment mid-experiment created a natural control: mean/RMS correlation signs flipped with electrode polarity, while the coefficient of variation remained consistently negative across both configurations (r = −0.32, p = 2.6 × 10−4). This electrode-invariant finding—higher stress associated with lower relative signal variability—provides the strongest evidence for genuine bio-hybrid sensing. The results position living plants as bio-inspired ambient sensing elements for workplace wellbeing monitoring.
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DOI of Published Version
https://doi.org/10.3390/biomimetics11040236
