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Toward Wearable Sensors : Advances, Trends, and Challenges

He, Tongyue (author)
Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang, Liaoning Provin, Peoples R China.;195,Innovat Rd, Shenyang, Liaoning, Peoples R China.
Chen, Junxin (author)
Dalian Univ Technol, Sch Software, Dalian City, Liaoning Provin, Peoples R China.;321,Tuoqiang St, Dalian, Liaoning, Peoples R China.
He, Ben-Guo (author)
Northeastern Univ, Key Lab Minist Educ Safe Min Deep Met Mines, Shenzhen, Liaoning Provin, Peoples R China.;1 Univ Town Rd, Shenzhen, Liaoning Provin, Peoples R China.
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Wang, Wei (author)
Zhu, Zhi-Liang (author)
School of Software, Northeastern University, China.
Lv, Zhihan, Dr. 1984- (author)
Uppsala universitet,Institutionen för speldesign
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Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang, Liaoning Provin, Peoples R China;195,Innovat Rd, Shenyang, Liaoning, Peoples R China. Dalian Univ Technol, Sch Software, Dalian City, Liaoning Provin, Peoples R China.;321,Tuoqiang St, Dalian, Liaoning, Peoples R China. (creator_code:org_t)
Association for Computing Machinery (ACM), 2023
2023
English.
In: ACM Computing Surveys. - : Association for Computing Machinery (ACM). - 0360-0300 .- 1557-7341. ; 55:14S
  • Research review (peer-reviewed)
Abstract Subject headings
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  • Sensors suitable for wearable devices have many special characteristics compared to other sensors, such as stability, sensitivity, sensor volume, biocompatibility, and so on. With the development of wearable technology, amazing wearable sensors have attracted a lot of attention, and some researchers have done a large number of technology explorations and reviews. However, previous surveys generally were concerned with a specified application and comprehensively reviewed the computing techniques for the signals required by this application, as well as how computing can promote data processing. There is a gap in the opposite direction, i.e., the fundamental data source actively stimulates application rather than from the application to the data, and computing promotes the acquisition of data rather than data processing. To fill this gap, starting with different parts of the body as the source of signal, the fundamental data sources that can be obtained and detected are explored by combining the three sensing principles, as well as discussing and analyzing the existing and potential applications of machine learning in simplifying sensor designs and the fabrication of sensors.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

Wearable devices
sensors
medical devices
human monitoring
sensor principles
body parts

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By the author/editor
He, Tongyue
Chen, Junxin
He, Ben-Guo
Wang, Wei
Zhu, Zhi-Liang
Lv, Zhihan, Dr. ...
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Computer Systems
Articles in the publication
ACM Computing Su ...
By the university
Uppsala University

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