Bionic octopus-like flexible three-dimensional force sensor for meticulous handwriting recognition in human-computer interactions

八达通(软件) 笔迹 材料科学 纳米技术 人机交互 人工智能 计算机视觉 计算机科学 物理 量子力学
作者
Diqing Ruan,Guanzheng Chen,Xuanzi Luo,Lin Cheng,Huaping Wu,Aiping Liu
出处
期刊:Nano Energy [Elsevier BV]
卷期号:123: 109357-109357 被引量:33
标识
DOI:10.1016/j.nanoen.2024.109357
摘要

With the advantages of high flexibility, multifunctional integration, and wearing comfort, flexible tactile sensors hold great potential for application in the field of intelligent sensing system and human-computer interaction. However, the high sensitivity acquisition and the issue of decoupling of complex tactile signals, and improving compatibility of flexible tactile sensors in human-computer interfaces are still serious challenges in current research. In this study, drawing inspiration from the body structure of an octopus, we developed a flexible three-dimensional (3D) force sensor in which a CNT/Ecoflex conductive elastomer as the body of the bionic octopus-like sensor could capture the normal component of 3D spatial force, meanwhile a laser-induced graphene sensing film transferred to Ecoflex (LIG/Ecoflex) as the tactile wrists of the bionic octopus sensor could discern the magnitude and direction of the tangential component of the 3D spatial force. The bionic sensor offered excellent sensing and wearable characteristics, including fast and efficient response, cyclic stability, and flexible skin-fit performance. The unique structural design of the sensor enabled spatial force sensing capability and precise decoupling and output of 3D forces through the use of a multilayer perceptron (MLP) for mapping and calibration. The octopus-inspired flexible 3D force sensors were further attached to the fingertips of human fingers for successful extraction of handwriting minutia of wearer, showcasing their promising potential in areas such as smart wearables, handwriting recognition, and interactive human-computer interfaces.
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
2秒前
岳先生完成签到,获得积分10
3秒前
zhuizhui发布了新的文献求助10
3秒前
Cc完成签到,获得积分10
4秒前
......发布了新的文献求助10
4秒前
二指弹完成签到 ,获得积分10
5秒前
7秒前
Owen应助twk123采纳,获得10
7秒前
petli发布了新的文献求助10
9秒前
无花果应助zhuizhui采纳,获得10
9秒前
9秒前
合适一斩完成签到,获得积分10
9秒前
9秒前
ale发布了新的文献求助10
12秒前
隐形曼青应助liyi采纳,获得10
12秒前
受伤凌蝶发布了新的文献求助10
13秒前
JJ完成签到,获得积分10
14秒前
14秒前
一只小鬼Q发布了新的文献求助40
14秒前
科研不通完成签到,获得积分10
14秒前
......完成签到,获得积分10
14秒前
火星上凝阳完成签到,获得积分10
15秒前
16秒前
17秒前
aSTRAL完成签到,获得积分10
18秒前
18秒前
付付完成签到 ,获得积分10
18秒前
19秒前
科研不通发布了新的文献求助10
20秒前
20秒前
古藤发布了新的文献求助10
20秒前
liman完成签到,获得积分20
21秒前
小二郎应助受伤凌蝶采纳,获得10
21秒前
atmorz完成签到,获得积分10
21秒前
22秒前
嘎嘣脆完成签到,获得积分10
22秒前
shiizii应助cyw_1037405062采纳,获得10
22秒前
呜啊完成签到,获得积分10
23秒前
跳跳虎发布了新的文献求助10
23秒前
23秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
徐淮辽南地区新元古代叠层石及生物地层 2000
A new approach to the extrapolation of accelerated life test data 1000
Global Eyelash Assessment scale (GEA) 500
School Psychology 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4027152
求助须知:如何正确求助?哪些是违规求助? 3566718
关于积分的说明 11352486
捐赠科研通 3297848
什么是DOI,文献DOI怎么找? 1816076
邀请新用户注册赠送积分活动 890531
科研通“疑难数据库(出版商)”最低求助积分说明 813692