Can the Human Body be a Source of Energy Harvesting?—Present and Future Prospective

IF 4.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Richa Sharma
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引用次数: 0

Abstract

In this era, looking for alternative energy harvesting methods to reduce global warming and conserve natural resources is necessary. Every country has been looking for new renewable energy resources. Human beings can act as a good energy source, from a single heartbeat to every tiny movement or activity of the human body. With bioelectronics and wearable device advancements, energy production from the human body has become a promising research area. Recently, several researchers have been working toward harvesting/producing energy from human beings and trying to translate that into electrical form, which wearable and implantable medical devices could use in the long run. This review article discusses different energy sources and harvesting techniques from the human body. The promising sources for energy harvesting are human movements, such as walking, running, etc., upper-limb movement, heartbeat, heat transmission, and breathing, which helps explore diverse types of energies, such as chemical, thermal, kinetic, mechanical, and other energies that can be harvested from the human body. This review would be helpful for the development of self-sustained implants, wearables, and health-tracking medical devices.
人体能成为能量收集的来源吗?-现在和未来的展望
在这个时代,寻找替代能源收集方法来减少全球变暖,保护自然资源是必要的。每个国家都在寻找新的可再生能源。人类可以作为一个很好的能量来源,从一次心跳到人体的每一个微小的动作或活动。随着生物电子学和可穿戴设备的进步,人体能源生产已成为一个有前途的研究领域。最近,几位研究人员一直致力于从人类身上收集/产生能量,并试图将其转化为电子形式,从长远来看,可穿戴和植入式医疗设备可以使用。本文综述了人体能量的不同来源和获取技术。有希望的能量收集来源是人类的运动,如走路、跑步等,上肢运动,心跳,热传递和呼吸,这有助于探索多种类型的能量,如化学,热,动能,机械和其他可以从人体收集的能量。本文的综述将对自我维持植入物、可穿戴设备和健康跟踪医疗设备的发展有所帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
7.10
自引率
11.10%
发文量
136
期刊介绍: The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.
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