Gesture recognition based on flexible solar cells and ultrathin hydrogel film

Rucheng WU; Wenbo DING; Xiaomin XU; Linqi SONG; Weitao XU

doi:10.11959/j.issn.1000-0801.2023143

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Gesture recognition based on flexible solar cells and ultrathin hydrogel film

Research and Development | 更新时间：2024-06-05

- Gesture recognition based on flexible solar cells and ultrathin hydrogel film
- Telecommunications Science Vol. 39, Issue 7, Pages: 109-115(2023)
- 作者机构：
  
  1. 香港城市大学深圳研究院，广东深圳 518057
  2. 香港城市大学计算机学院，香港 999077
  3. 清华大学深圳国际研究生院，广东深圳 518071
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023143
  CLC： TP391
- Published Online：2023-07，
  
  Published：20 July 2023
- 稿件说明：
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Rucheng WU, Wenbo DING, Xiaomin XU, et al. Gesture recognition based on flexible solar cells and ultrathin hydrogel film[J]. Telecommunications science, 2023, 39(7): 109-115.
DOI：

Rucheng WU, Wenbo DING, Xiaomin XU, et al. Gesture recognition based on flexible solar cells and ultrathin hydrogel film[J]. Telecommunications science, 2023, 39(7): 109-115. DOI： 10.11959/j.issn.1000-0801.2023143.

摘要

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。

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.

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references

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