Design of mat for people identification based on plantar pressure and BP neural network
A shoe print is a unique feature of each shoe,and is used in the forensic case to identify the suspect.Many kinds of research shows it is effective in identifying people with shoe shape and gait features.To solve the drawbacks of complex equipment and poor immunity to interference caused by the use of one feature alone,this paper studied a people identification system based on BP neural network and combined both shape and plantar pressure features.By comparing the 3 different pressure data accumulation methods,the system achieved a best accuracy of 89%without noise and 74%with about 10%noise pixels added.The result of the experiment demonstrated the effectiveness of this system.
people identificationBP neural networkplantar pressurethin film pressure sensor
NETL
NSTL
万方数据
