Approaches to deformable physical sensors: Electronic versus iontronic

计算机科学 可穿戴计算机 数码产品 可穿戴技术 仿生学 电子工程 电气工程 系统工程 嵌入式系统 工程类 人工智能
作者
Tae Yeong Kim,Wonjeong Suh,Unyong Jeong
出处
期刊:Materials Science and Engineering R [Elsevier]
卷期号:146: 100640-100640 被引量:48
标识
DOI:10.1016/j.mser.2021.100640
摘要

For the past two decades, the researches on stretchable physical sensors have made great technological advances, and have been applied to various applications such as electronic skin for robots, haptic devices, bionics, and wearable/implantable healthcare sensors, etc. The deformable physical sensors have been investigated in two approaches: the electronic sensors with the well-developed fabrication technologies and the iontronic sensors as a new technological alternative. There has been a wide spectrum of researches branching from the two approaches. They have evolved from simple-structured sensors with a single function into high-resolution array sensors with multiple functions. A variety of technological methods and principles have been explored depending on the target applications and the materials in use. The deformable sensors can be differentiated according to the specific methodology and principle; i) type of electrical signal (resistance or impedance, capacitance, induction, voltage or current, frequency), ii) power consumption (use of external power (passive) or self-signaling (active)), iii) data acquisition method (time-division multiple access or event-driven parallel access), and iv) multiple functionality (combination of different sensing units or multimodality). It is not clear at this stage which approach and method are suitable for which applications and materials. This review begins with a comparison of the technological methodologies and summarizes the evolution of deformable physical sensors. Focusing on key conceptual achievements according to the technological methodologies, this review introduces the advances of the electronic sensors in section 2 and the iontronic sensors in section 3. Section 4 discusses the challenges and directions for future researches, along with some possible technological solutions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Gstar完成签到,获得积分10
2秒前
cc发布了新的文献求助10
2秒前
俊逸若之发布了新的文献求助10
3秒前
邓佳鑫Alan应助xiaobai123456采纳,获得10
4秒前
CipherSage应助sry采纳,获得10
4秒前
隐形曼青应助如风随水采纳,获得10
4秒前
jxzx发布了新的文献求助10
5秒前
jie发布了新的文献求助10
5秒前
宇宙完成签到,获得积分10
5秒前
科研通AI6应助生动娩采纳,获得10
6秒前
7秒前
NexusExplorer应助kndfsfmf采纳,获得10
7秒前
林间完成签到 ,获得积分10
7秒前
呼呼发布了新的文献求助10
8秒前
jingmishensi发布了新的文献求助20
8秒前
发发发发布了新的文献求助10
8秒前
yyyyyyn完成签到,获得积分20
8秒前
10秒前
阿梦发布了新的文献求助10
11秒前
11秒前
11秒前
禾风完成签到,获得积分10
12秒前
QUPY发布了新的文献求助10
12秒前
12秒前
爱爱精神境界完成签到,获得积分20
12秒前
13秒前
123456发布了新的文献求助10
14秒前
怡然雨雪完成签到,获得积分0
14秒前
pluto应助当归采纳,获得50
14秒前
14秒前
15秒前
Baelfire完成签到,获得积分10
15秒前
时舒发布了新的文献求助10
16秒前
小韩儒儒发布了新的文献求助10
16秒前
16秒前
TNU完成签到,获得积分20
17秒前
17秒前
无敌阿东完成签到,获得积分10
18秒前
水123发布了新的文献求助10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5601210
求助须知:如何正确求助?哪些是违规求助? 4686646
关于积分的说明 14845466
捐赠科研通 4679924
什么是DOI,文献DOI怎么找? 2539214
邀请新用户注册赠送积分活动 1506091
关于科研通互助平台的介绍 1471266