Next Article in Journal
Towards Predictive Communication: The Fusion of Large Language Models and Brain–Computer Interface
Previous Article in Journal
Quantification of Sensitization in Aluminum–Magnesium Alloys Through Frequency–Dependent Ultrasonic Attenuation
Previous Article in Special Issue
Wear Your Heart on Your Sleeve: Smart Textile ECG Wearables for Comfort, Integration, Signal Quality and Continuous Monitoring in Paroxysmal Atrial Fibrillation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies

by
Vikash Shankar Shyam Sundar Bhuvaneswari
and
Mohanraj Thangamuthu
*
Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(13), 3985; https://doi.org/10.3390/s25133985
Submission received: 11 April 2025 / Revised: 13 June 2025 / Accepted: 25 June 2025 / Published: 26 June 2025
(This article belongs to the Special Issue Innovative Sensors and IoT for AI-Enabled Smart Healthcare)

Abstract

This review of literature discusses the use of emerging technologies in the prevention of assault, specifically Artificial Intelligence (AI), the Internet of Things (IoT), and wearable technologies. In preventing assaults, GIS-based mobile apps, wearable safety devices, and personal security solutions have been designed to improve personal security, especially for women and the vulnerable. The paper also analyzes interfacing networks, such as edge computing, cloud databases, and security frameworks required for emergency response solutions. In addition, we introduced a framework that brings these technologies together to deliver an effective response system. This review seeks to identify gaps currently present, ascertain major challenges, and suggest potential directions for enhanced personal security with the use of technology.
Keywords: assault prevention; wearable devices; mobile healthcare; remote monitoring; GIS; security framework; AI/ML assault prevention; wearable devices; mobile healthcare; remote monitoring; GIS; security framework; AI/ML

Share and Cite

MDPI and ACS Style

Shyam Sundar Bhuvaneswari, V.S.; Thangamuthu, M. Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies. Sensors 2025, 25, 3985. https://doi.org/10.3390/s25133985

AMA Style

Shyam Sundar Bhuvaneswari VS, Thangamuthu M. Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies. Sensors. 2025; 25(13):3985. https://doi.org/10.3390/s25133985

Chicago/Turabian Style

Shyam Sundar Bhuvaneswari, Vikash Shankar, and Mohanraj Thangamuthu. 2025. "Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies" Sensors 25, no. 13: 3985. https://doi.org/10.3390/s25133985

APA Style

Shyam Sundar Bhuvaneswari, V. S., & Thangamuthu, M. (2025). Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies. Sensors, 25(13), 3985. https://doi.org/10.3390/s25133985

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop