Real-time Reconstruction and Simulation of Police Dog Posture Based on Multi-sensor Data Vest

Authors

Chaozheng Zhu, 1. College of Command Control Engineer, Army Engineering University, Nanjing 211117, China; ;
He Ming, 1. College of Command Control Engineer, Army Engineering University, Nanjing 211117, China; ;2. Institute of Network Information, Academy of Systems Engineering, Academy of Military Sciences, Beijing 100071, China; ;
Yang Sheng, 3. College of Information and Computer, HoHai University, Nanjing 211110, China; ;4. Nanjing Huiying Electronics Technology Corporation, Nanjing 211100, China; ;
Yang Cheng, 1. College of Command Control Engineer, Army Engineering University, Nanjing 211117, China; ;
Zhenhua Song, 5. Nanjing Police Dog Research Institute, Ministry of Public Security, Nanjing 210012, China;

Abstract

Abstract: Real-time police dog posture reconstruction provides an intelligent, convenient and over-the-horizon interactive way for police on duty with dogs. For the biological movement characteristics of police dogs, a new multi-sensor dog data vest was designed and implemented. Based on multiple small size and low power consumption sensors, a new police dog motion fusion method was proposed to capture the different posture data of police dogs, including standing, sitting and prone position, etc. For frequent jitter of police dogs, this paper proposed a method of dog posture reconstruction based on multi-sensor data vest, and introduced an improved kernel function ELM algorithm to solve the optimal reconstruction posture results. The analysis and comparison of experimental simulation show that this method can reconstruct the real and credible police dog posture in real time.

Recommended Citation

Zhu, Chaozheng; Ming, He; Sheng, Yang; Cheng, Yang; and Song, Zhenhua (2019) "Real-time Reconstruction and Simulation of Police Dog Posture Based on Multi-sensor Data Vest," Journal of System Simulation: Vol. 30: Iss. 12, Article 31.
DOI: 10.16182/j.issn1004731x.joss.201812031
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/31

First Page

4738

Revised Date

2018-05-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201812031

Last Page

4746

CLC

TP391.9

Recommended Citation

Zhu Chaozheng, He Ming, Yang Sheng, Yang Cheng, Song Zhenhua. Real-time Reconstruction and Simulation of Police Dog Posture Based on Multi-sensor Data Vest[J]. Journal of System Simulation, 2018, 30(12): 4738-4746.

Corresponding Author

He Ming,

DOI

10.16182/j.issn1004731x.joss.201812031