Future Trends of Artificial Intelligence in Human Biofield
Gunjan Chhabra1, Ajay Prasad2, Venkatadri Marriboyina3

1Gunjan Chhabra, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India, 248001.
2Ajay Prasad, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India, 248001.
3Venkatadri Marriboyina, Department of Computer Science Engineering, Amity University Madhya Pradesh, Gwalior.

Manuscript received on 02 August 2019 | Revised Manuscript received on 08 August 2019 | Manuscript published on 30 August 2019 | PP: 3809-3814 | Volume-8 Issue-10, August 2019 | Retrieval Number: J99870881019/2019©BEIESP | DOI: 10.35940/ijitee.J9987.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Human body structure is very complex, which contains various sub-components and makes it a complicated system. There are various activities performed by humans which involves both mental and physiological activities. Additionally, to monitor human health conditions various waves are examined like brainwaves, heart waves and others, which are highly useful in clinical scrutiny. Likewise, there exists an organized field of energy associated with every individual, termed as human biofield. This human biofield comprises of pre-eminent information about one’s health and psychological state. Moreover, several studies manifested the evidences of its existence and its benefits clinically together with numerous alliances. This augments the importance of this field and reveals diversified applications in Complementary and Alternative Medicine (CAM) for humans. Contrary to other biological signals for instance ECG, EEG and other, biofield still is not being mapped i.e. no measurement techniques are available for calculating the impact of Biofield in diagnosis and therapy, due to the uneven characteristics of biofield. This research article deals with the description of hitherto journey of biofield, including its concepts, imaging and applications. Further, this paper also imparts the need of Artificial intelligence stating new opportunities and challenges associated with it. Particularly, this paper highlights the futuristic applications of biofield integrated with Artificial Intelligence.
Keywords: Human Biofield; Artificial Intelligence; Image Processing; Aura; Human Energy Field; Electromagnetic Signals; Signal Processing; Bio – informatics.

Scope of the Article: Artificial Intelligence