2021
DOI: 10.1002/er.7394
|View full text |Cite
|
Sign up to set email alerts
|

A survey of wearable energy harvesting systems

Abstract: Summary Recently, we have witnessed a remarkable proliferation of wearables in various smart applications. These applications include smart healthcare, smart military, smart infotainment, and smart industries, to name a few. However, wearables suffer from significant energy limitations. To cope with this challenging issue, energy harvesting can be a viable solution. In this paper, various ambient sources like heat, vibration, radio waves, and solar energy are compared and critically analyzed based on size, vol… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 34 publications
(11 citation statements)
references
References 134 publications
0
11
0
Order By: Relevance
“…Typical power requirements are on the order of microwatt–milliwatt for wearable devices such as ECG sensor, temperature sensor, glucose sensor and pulse oximeter. [ 89 ] In this section, we discuss the system design approaches used to reduce/eliminate these rigid components from wearable devices. There are mainly three types to power wearable devices with improved comfort‐of‐wear: self‐powering, soft battery, and wireless power.…”
Section: Soft Power and Signal Processingmentioning
confidence: 99%
“…Typical power requirements are on the order of microwatt–milliwatt for wearable devices such as ECG sensor, temperature sensor, glucose sensor and pulse oximeter. [ 89 ] In this section, we discuss the system design approaches used to reduce/eliminate these rigid components from wearable devices. There are mainly three types to power wearable devices with improved comfort‐of‐wear: self‐powering, soft battery, and wireless power.…”
Section: Soft Power and Signal Processingmentioning
confidence: 99%
“…Physical objects are characterized by a set of attributes (e.g., shape, mass, energy). These attributes are difficult to exactly model [87]. Additionally, these parameters will significantly affect the performance of the system.…”
Section: E Twin Objects Prototypingmentioning
confidence: 99%
“…• From [5], [87], [88], we learned that considerable care must be taken while virtual modeling the physical system/entity. Mathematical models are based on assumptions that may not more accurately follow the real scenarios.…”
Section: Lessons Learned and Recommendationsmentioning
confidence: 99%
“…Hence, they are used as backup sources that work alongside rechargeable batteries. Using two or more energy sources in a hybrid energy harvesting system is also a good option, since one power source can back up the others when they are not available [ 11 ].…”
Section: Introductionmentioning
confidence: 99%