Open AccessResearch on Sound Source Localization and Real-Time Facial Expression Recognition for Security Robot
Author(s) -
Zhonghua Han,
Tingting Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1621/1/012045
Subject(s) - robot , computer science , microphone array , microphone , human–robot interaction , artificial intelligence , computer vision , expression (computer science) , acoustic source localization , speech recognition , human–computer interaction , sound (geography) , acoustics , sound pressure , telecommunications , physics , programming language
Security robots are intelligent equipment used to perform security tasks, which can play a role in reducing the labor intensity and duty risk of police. In view of the shortcomings of existing police security robots in human-computer interaction and cooperation, the sound source localization and real-time facial expression recognition for the security robot is introduced in this paper. The auditory system of the robot obtains external sound analog signals through a microphone array, and performs corresponding digital signal processing on the collected sound signals. In order to strengthen the information interaction capability between the security robot and operators, the Kinect with deep data processing capabilities is introduced in this paper. The experimental results show that the system can analyze and recognize the position and status of the operators.