Smartphone-sensor-based human activities classification for forensics: a machine learning approach

Smartphone-sensor-based human activities classification for forensics: a machine learning approach

Abstract The accurate classification of human activities in crime scenes during forensics (criminalistics) is of utmost importance in classifying suspicious and unlawful activities, easing their acceptability and interpretability by judges during legal procedures in courts or by other non-experts in...

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Bibliographic Details
Main Authors: Nchouwat Ndumgouo Ibrahim Moubarak, Njutapmvoui Mbah Mohamed Omar, Vepouyoum Njouokouo Youssef
Format: Article
Language:English
Published: SpringerOpen 2024-08-01
Series:Journal of Electrical Systems and Information Technology
Subjects:
Machine learning
SVM
Decision tree
Classification
Human activities
Forensics
Online Access:https://doi.org/10.1186/s43067-024-00157-x

Internet

https://doi.org/10.1186/s43067-024-00157-x

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