2020/05/10 by Buenyamin Oezkaya, Oezkaya, Buenyamin, Peter A. Gloor +1 · 1 citation
Agricultural and Biological Sciences · Engineering · Neuroscience · #Advanced Chemical Sensor Technologies #FOS: Electrical engineering #Neuroscience and Neural Engineering #Plant and Biological Electrophysiology Studies #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.04591
openalex publication_date 2020/05/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
By measuring the electrostatic discharge of human bodies together with Mimosa Pudica and other plants in response to the human movement, we have been able to recognize (a) individuals based on their distinctive pattern of body movements with 66% accuracy as well as (b) positive or negative mood based on their gait characteristics with 85% accuracy. We use the Plant SpikerBox, a device that measures the electrical action potential while also measuring the electrostatic discharge between the electrode on the leaves of a plant and the capacitively coupled human body.