基于激光测距仪的智能物联网体感交互感知研究
Research on somatosensory interactive perception of intelligent Internet of Things based on laser rangefinder
吕菲1
作者信息
- 1. 合肥职业技术学院,安徽 合肥 230000
- 折叠
摘要
当前的智能物联网设备在识别用户指令方面存在不足,时常需要用户多次尝试,降低了用户的使用体验和对设备的信任度.为了解决问题,提出了一种基于激光测距仪的智能物联网体感交互感知方法.首先,拟合激光波绘制结果,并利用距离变换算法设定智能物联网的体感交互方式.然后,通过误差传递公式,计算激光测距仪的协方差矩阵,依据此调整参数和测量点.最后,融合激光图像特征,识别操作者的动态指令.实验结果表明,所提方法能够显著提升智能物联网设备对体感指令的采集完整度,正确完成所有体感指令,且平均体感动作类别划分精准度高达97.02％,说明所提方法具有较高的体感交互感知精度.
Abstract
The current intelligent IoT devices have shortcomings in recognizing user instructions,often requiring users to try multiple times,thereby reducing the user experience and trust in the device.In order to solve the above problems,this study proposes an intelligent IoT based on laser rangefinder for tactile interaction perception.Firstly,fit the laser wave rendering results and use the distance transformation algorithm to set the tactile interaction mode of the intelligent IoT.Then,through the error transfer formula,calculate the covariance matrix of the laser rangefinder,and adjust its parameters and measurement points based on this.Finally,the laser image features are fused to recognize the dynamic instructions of the operator.The experimental results show that the proposed method can significantly improve the completeness of intelligent IoT devices'collection of somatosensory commands,correctly complete all somatosensory commands,and achieve an average accuracy of 97.02％in classifying somatosensory action categories.This indicates that the proposed method has high accuracy in somatosensory interaction perception.
关键词
体感交互感知/激光测距仪/智能物联网/距离变换算法/虚拟环境Key words
sensory interaction perception/laser rangefinder/intelligent Internet of Things/distance transformation algorithm/virtual environment引用本文复制引用
基金项目
2022年度安徽省自然科学研究重点项目(2022AH052239)
2021年度安徽省自然科学研究项目(KJ2021A1399)
2021年安徽省级质量工程项目(2021xdxtz055)
出版年
2024
NETL
NSTL
万方数据