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A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

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Comparison and performance evaluation of human bio-field visualization algorithm.

Gunjan Chhabra¹, Ajay Prasad¹, Venkatadri Marriboyina²

¹School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India.

Archives of Physiology and Biochemistry

|November 19, 2019

Summary

This summary is machine-generated.

This study visualizes the human bio-field, an invisible energy layer in living beings. The proposed algorithm

Keywords:

Bio-pulsar Reflexograph Image processing Quantum Resonance Magnetic Analyser computer vision human bio-field pattern analysis

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Area of Science:

Physics
Quantum Physics
Metaphysics
Electromagnetism

Background:

Energy is transferable, transformable, and conserved, fundamental to physics.
Living organisms possess an atomic-level energy exchange, forming the human bio-field.
The human bio-field is linked to well-being, health, thoughts, and emotions.

Purpose of the Study:

To propose and evaluate an algorithm for visualizing the human bio-field.
To assess the accuracy of the proposed visualization method.

Main Methods:

Development of a novel algorithm for human bio-field visualization.
Performance evaluation using comparative accuracy metrics against existing methods.

Main Results:

The proposed algorithm successfully visualizes the human bio-field.
Accuracy of the visualization was quantitatively assessed using established benchmarks.

Conclusions:

The study presents a new method for human bio-field visualization.
The algorithm's performance indicates its potential for health and well-being insights.