摘要
为了缓解许多家长“带孩难”的困扰,本文设计了一个基于嵌入式的婴儿哭啼监测系统。该系统用树莓派嵌入式微系统作为中控处理器,搭载音频采集器和蜂鸣报警器等外部设备,通过提取梅尔频率倒谱系数、过零率等特征参数,利用SVM算法实现对婴儿哭声的识别,并将结果通过无线传输功能发送到家长的终端设备。实验结果表明,该系统实现了对婴儿哭啼的有效监测,并具有良好的性能。
In order to alleviate the trouble of many parents’ “difficulty with children”, this paper designs an embedded baby crying monitoring system. The system uses the Raspberry Pi embedded microsystem as the central control processor, and is equipped with external devices such as audio collectors and buzzer alarms. By extracting characteristic parameters such as Mel frequency cepstral coefficients and zero-crossing rates, the SVM algorithm is used to realize the detection of infants. Cry recognition, and send the result to the parent’s terminal device through the wireless transmission function. The experimental results show that the system achieves effective monitoring of infant crying and has good performance.
作者
钟鹏飞
谭平
汤悦
龙帅
邱辉
ZHONG Pengfei;TAN Ping;TANG Yue;LONG Shuai;QIU Hui(School of Intelligent and Intelligent Manufacturing,Hunan University of Technology and Business,Changsha Hunan 410205,China;Hunan Xiaodian Automobile Service Co.,Ltd.,Changsha Hunan 410000,China)
出处
《信息与电脑》
2022年第5期125-127,共3页
Information & Computer
基金
湖南省大学生创新创业训练计划项目(项目编号:S202010554035)
国家级大学生创新创业训练计划项目(项目编号:202110544019)
湖南省普通高校教学改革研究项目(项目编号:湘教通[2019]291号、湘教通[2020]232号HNJG-2020-0618)。
