Detection and Altering of Aggressive Behaviour of Mentally Unstable People Using CNN AND RSSI
Balaji. S. R.
, E. M. Ramya , S. Padmashree , A.Nivethitha , N.Rachana
RSS; CNN; Detection; Aggressive behavior; Alert.
Mental health is one of the most important things for a human life. In today’s rapidly evolving electronic environment, maintaining mental health is crucial for both security reasons and hospital operations. This project’s primary goal is to help mentally ill individuals by employing convolution neural networks (CNN) and received signal intensity indicators(RSSI). Processing statistical data is the approach taken in this case to effectively monitor behaviour. In this project, a system for wireless communication, as well as a person detection and tracking system, are the two main processes. As a result of this project, we are monitoring the behaviour and tracking of the patient more accurately using CNN and RSSI.
"Detection and Altering of Aggressive Behaviour of Mentally Unstable People Using CNN AND RSSI", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.792-802, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001124.pdf
Volume 11
Issue 2,
February-2024
Pages : 792-802
Paper Reg. ID: TIJER_151100
Published Paper Id: TIJERB001124
Downloads: 000279
Research Area: Science and Technology
Country: TIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
