基于柔性太阳能电池和超薄水凝胶薄膜的手势识别

Rucheng 吴如成; null 丁文伯; null 徐晓敏; Linqi 宋林琦; Weitao 徐伟涛

doi:10.11959/j.issn.1000-0801.2023143

基于柔性太阳能电池和超薄水凝胶薄膜的手势识别

Translated title of the contribution: Gesture recognition based on flexible solar cells and ultrathin hydrogel film

吴如成, 丁文伯, 徐晓敏, 宋林琦, 徐伟涛^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Daily life involves various gestures, and combining these with smart wearable devices is crucial for improving quality of life.One effective solution to the challenges of gesture recognition and device energy consumption isutilizing the photoelectric conversion characteristics of solar energy-related devices.The data of five commonly used gestures were collected in the research of the combination of flexible solar cells and gesture recognition.Z-Score, low-pass filter, sliding window techniques for signal processing were applied, and successfully achieved 100% predicted accuracy using random forest, support vector machine and neural network algorithms even with small samples which showed that this method had significant advantages in the application of gesture recognition.

Translated title of the contribution	Gesture recognition based on flexible solar cells and ultrathin hydrogel film
Original language	Chinese (Simplified)
Pages (from-to)	109-115
Journal	电信科学
Volume	39
Issue number	7
Online published	15 Jun 2023
DOIs	https://doi.org/10.11959/j.issn.1000-0801.2023143
Publication status	Published - Jul 2023

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Research Keywords

柔性太阳能电池
超薄水凝胶薄膜
手势识别
机器学习
智能可穿戴设备
flexible solar cells
ultrathin hydrogel film
gesture recognition
machine learning
smart wearable device

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.11959/j.issn.1000-0801.2023143

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Cite this

@article{48e11a5c6aa949c8adefb0cc5fcbf950,

title = "基于柔性太阳能电池和超薄水凝胶薄膜的手势识别",

abstract = "人们在日常生活中会用到各种各样的手势，如何将不同的手势与现有的智能可穿戴设备等结合起来对生活质量的提升有不可或缺的作用，利用太阳能相关设备的光电转换特性可以很好地解决手势识别和设备能耗问题。在柔性太阳能电池与手势识别结合的研究中，采集了5种常用手势数据，进行了Z-Score、低通滤波、滑动窗口等信号处理方法，并利用随机森林、支持向量机和神经网络等对其进行分类，成功地在小样本的基础上实现了100%的预测精度，可以证明该方法在手势识别的应用中有显著优势。",

keywords = "柔性太阳能电池, 超薄水凝胶薄膜, 手势识别, 机器学习, 智能可穿戴设备, 柔性太陽能電池, 超薄水凝膠薄膜, 手勢識別, 機器學習, 智慧可穿戴設備, 柔性太阳能电池, 超薄水凝胶薄膜, 手势识别, 机器学习, 智能可穿戴设备, flexible solar cells, ultrathin hydrogel film, gesture recognition, machine learning, smart wearable device",

author = "吴如成 and 丁文伯 and 徐晓敏 and 宋林琦 and 徐伟涛",

note = "Research Unit(s) information for this publication is provided by the author(s) concerned.",

year = "2023",

month = jul,

doi = "10.11959/j.issn.1000-0801.2023143",

language = "繁体中文",

volume = "39",

pages = "109--115",

number = "7",

}

TY - JOUR

T1 - 基于柔性太阳能电池和超薄水凝胶薄膜的手势识别

AU - 吴如成, null

AU - 丁文伯, null

AU - 徐晓敏, null

AU - 宋林琦, null

AU - 徐伟涛, null

N1 - Research Unit(s) information for this publication is provided by the author(s) concerned.

PY - 2023/7

Y1 - 2023/7

N2 - 人们在日常生活中会用到各种各样的手势，如何将不同的手势与现有的智能可穿戴设备等结合起来对生活质量的提升有不可或缺的作用，利用太阳能相关设备的光电转换特性可以很好地解决手势识别和设备能耗问题。在柔性太阳能电池与手势识别结合的研究中，采集了5种常用手势数据，进行了Z-Score、低通滤波、滑动窗口等信号处理方法，并利用随机森林、支持向量机和神经网络等对其进行分类，成功地在小样本的基础上实现了100%的预测精度，可以证明该方法在手势识别的应用中有显著优势。

AB - 人们在日常生活中会用到各种各样的手势，如何将不同的手势与现有的智能可穿戴设备等结合起来对生活质量的提升有不可或缺的作用，利用太阳能相关设备的光电转换特性可以很好地解决手势识别和设备能耗问题。在柔性太阳能电池与手势识别结合的研究中，采集了5种常用手势数据，进行了Z-Score、低通滤波、滑动窗口等信号处理方法，并利用随机森林、支持向量机和神经网络等对其进行分类，成功地在小样本的基础上实现了100%的预测精度，可以证明该方法在手势识别的应用中有显著优势。

KW - 柔性太阳能电池

KW - 超薄水凝胶薄膜

KW - 手势识别

KW - 机器学习

KW - 智能可穿戴设备

KW - 柔性太陽能電池

KW - 超薄水凝膠薄膜

KW - 手勢識別

KW - 機器學習

KW - 智慧可穿戴設備

KW - 柔性太阳能电池

KW - 超薄水凝胶薄膜

KW - 手势识别

KW - 机器学习

KW - 智能可穿戴设备

KW - flexible solar cells

KW - ultrathin hydrogel film

KW - gesture recognition

KW - machine learning

KW - smart wearable device

UR - https://tra.oversea.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFD&dbname=CJFDAUTO&filename=DXKX202307011&uniplatform=OVERSEA&v=87YTcm1djdrmencfXi2fV4sH3blldHnGkw6-NDQXetu5PSZwTABVjfl64cxz0TBU

U2 - 10.11959/j.issn.1000-0801.2023143

DO - 10.11959/j.issn.1000-0801.2023143

M3 - RGC 21 - Publication in refereed journal

SN - 1000-0801

VL - 39

SP - 109

EP - 115

JO - 电信科学

JF - 电信科学

IS - 7

ER -

基于柔性太阳能电池和超薄水凝胶薄膜的手势识别

Abstract

Bibliographical note

Research Keywords

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

GRF: Pushing the Boundaries of Wearable Sensing: A Tale of Two Modalities

ECS: Robust and Lightweight Security Framework for Low-power Wide-area Network

Cite this

基于柔性太阳能电池和超薄水凝胶薄膜的手势识别

Abstract

Bibliographical note

Research Keywords

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

GRF: Pushing the Boundaries of Wearable Sensing: A Tale of Two Modalities

ECS: Robust and Lightweight Security Framework for Low-power Wide-area Network

Cite this