Preventing Crimes Through Gunshots Recognition Using Novel Feature Engineering and Meta-Learning Approach

Preventing Crimes Through Gunshots Recognition Using Novel Feature Engineering and Meta-Learning Approach

Gunshot sounds are common in crimes, particularly those involving threats, harassment, or killing. The gunshot sounds in crimes can create fear and panic among victims, often leading to psychological trauma. Gunshot sounds are associated with a significant mortality rate, especially in cases of gun...

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Bibliographic Details
Main Authors: Ali Raza, Furqan Rustam, Bhargav Mallampati, Pradeep Gali, Imran Ashraf
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Gunshot sound classification
crime prevention
signal processing
MFCC features
meta-learning
feature engineering
Online Access:https://ieeexplore.ieee.org/document/10254554/

Internet

https://ieeexplore.ieee.org/document/10254554/

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