Wearable Sensors 2014
DOI: 10.1016/b978-0-12-418662-0.00004-0
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Energy Harvesting at the Human Body

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Cited by 13 publications
(11 citation statements)
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“…decrease in size and power consumption of electronic devices. [1] Many devices with communication abilities such as wearable devices and wireless sensor networks are created. However, most of these devices are powered by batteries, thus its lifespan and stability of power are restricted.…”
Section: Introductionmentioning
confidence: 99%
“…decrease in size and power consumption of electronic devices. [1] Many devices with communication abilities such as wearable devices and wireless sensor networks are created. However, most of these devices are powered by batteries, thus its lifespan and stability of power are restricted.…”
Section: Introductionmentioning
confidence: 99%
“…While passive energy is harvested from the patient's or user's everyday actions, such as breathing or walking motions, active energy harvesting requires activities the person especially executes for harvesting. [10] Since for passive energy harvesting the user is not consciously aware of the energy conversion process, it has the least impact on the patient's living conditions and is therefore focused in the research presented in this paper.…”
Section: Human Body Energy Harvestingmentioning
confidence: 99%
“…Various approaches to harvest energy from the human body using different underlying physical principles have been proposed in literature. Investigations show the feasibility of different harvesting concepts, including the harvesting of mechanical energy from body movements using piezoelectric elements in various in-and on-body positions, the harvesting of thermal energy from temperature differences using the Seebeck Effect or the harvesting of biochemical energy based on electrochemical reactions processing glucose or oxygen [9][10][11]. Human body fluids in particular present a specific potential source of energy that has been investigated in research.…”
Section: Human Body Energy Harvestingmentioning
confidence: 99%
“…The human skin therefore responds to both dynamic and static or quasi-static stimuli through FAs and SAs [2][3][4][5][6][7]. Since SAs continue to generate spikes throughout the static or quasistatic events (figure 1b), the neuromorphic approach in eSkin is fundamentally different from the event-driven approaches that are widely explored today in context with vision and other sensory modalities [2][3][4][8][9][10][11][12][13][14]. This neural computing aspect of human skin (hereafter referred to as 'skin' only) is discussed later in this section.…”
Section: Introductionmentioning
confidence: 99%
“…Another way of reducing or managing the tactile data in eSkin and attaining efficient computation is to acquire the tactile data from contact area only. There is need for development of energy transfer technologies such as new wireless protocols [8][9][10]25,26].…”
Section: Introductionmentioning
confidence: 99%