| Title | A Support Vector Machine Algorithm for PIR Special Processor |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Yu, C. L., Han, Z. Gang, Xiao, W. H., Tong, M. Song |
| Conference Name | 2020 IEEE International Conference on Computational Electromagnetics (ICCEM) |
| Date Published | aug |
| Keywords | algorithm flow, composability, continuous improvement, data acquisition, data processing algorithm, distance 15.0 m, fast Fourier transform, function design, hardware description languages, human motion detection technology, industrial property, infrared products, IP core, Kalman filters, mathematical statistics, microcontrollers, PIR sensor, PIR special processor, Predictive Metrics, pubcrawl, pyroelectric detectors, pyroelectric infrared sensor, real-time intellectual property core, Resiliency, support vector machine, Support vector machines, SVM classification, timing design |
| Abstract | With the continuous improvement of people's safety awareness, infrared products as human motion detection technology have been widely used in the field of security. In order to better apply infrared products to life, improving the performance of infrared products and reducing the cost of products has become the main goal. According to the signal collected by Pyroelectric infrared (PIR) sensor, this paper establishes a database model. According to the data collected, Kalman filter is used to preprocess the data. The validity of the data after preprocessing is judged by the algorithm. The experimental results show that the accuracy of the model can reach 97% by using a support vector machine (SVM) algorithm incorporated with Fast Fourier Transform (FFT). According to the above algorithm flow, a real-time intellectual property (IP) core is designed by using hardware description language, after establishing the data processing algorithm. The interface design, timing design and function design of the IP core are designed. The IP core can be connected to the microcontroller unit (MCU) as an independent peripheral to form a PIR special processor, which can detect the distance of 15 m in real time. |
| DOI | 10.1109/ICCEM47450.2020.9219356 |
| Citation Key | yu_support_2020 |
A Support Vector Machine Algorithm for PIR Special Processor