This study presents a multidisciplinary framework for advancing stress detection by integrating Internet of Things (IoT) capabilities with Galvanic Skin Response (GSR) technology. Leveraging IoT for real-time data acquisition and analysis, we enhance GSR sensor functionality. Contributions from clinical psychology focus on elderly populations, providing insights into age-specific stress indicators and mental health correlations.

The automotive industry's advancements in road safety through sensors, actuators, and customized networks are challenged by increasing accidents, particularly in vehicles operating in autopilot mode. This research proposes SecureTrack, a novel approach to protect vehicular sensors from noninvasive EMI attacks using a deep learning-based CNN model combined with signal processing.

In modern warfare and law enforcement, the Internet of Battlefield Things (IoBT) emerges as a crucial technology offering a paradigm shift in soldier and security personnel safety and threat mitigation. This paper proposes and investigates the development of a groundbreaking system: the EM Defender Glove, aimed at real-time protection against various threats encountered by soldiers, police, and security professionals. Integrating sensors, microcontrollers, and wireless technology, this battery-operated wearable device presents a comprehensive solution to safeguard soldiers, police officers, and security personnel from arms and ammunition misuse and hostile encounters.

Computer vision is a rapidly advancing technology that relies heavily on camera sensors to provide input for Machine Learning (ML) models to make decisions. It is confirmed to play a critical role in various futuristic applications, such as advancements in self-driving vehicles, autonomous & target-tracking drones, parking assistance, and collision avoidance systems. However, with the increasing prevalence of hardware-level sensor hacking, even camera sensors are susceptible to being compromised. This experimental paper proposes the idea of sensor hacking against Machine Learning capabilities of vehicular Computer Vision (CV) using Electromagnetic Interference (EMI).

This paper explores how TinyML can be deployed in Internet of Battlefield Things (IoBT) networks to safeguard against malicious sensor hacking.

This paper presents a portable stress measurement system using GSR sensors to analyze body and mind correlation for stress detection.

The treatment of diabetes is getting a major challenge in the healthcare organization. According to the WHO report, diabetes mellitus has become the leading cause of death in many countries. The main reason for deaths is poor circulation of blood in the foot region which leads to the formation of an ulcer. This research is focused on developing a Peltier-based device for the treatment of diabetic foot ulcers with the help of Embedded Electronics. The device maintains the temperature variation from 5 oC to 45 oC, along with massage therapy and negative pressure.

Biometric systems are the most advanced access technology developed so far in the 21st century. Today most of commercial and private entities are protected by biometric recognition systems like fingerprint scans, facial recognition, retina scans, voice matching, etc. Biometric scans are considered the most secure access technology so far. However, many systems are not secure and reliable. This paper proposes a coordinate access system for security purposes which works efficiently using biometric scans.

This paper addresses interference cancellation techniques to maximize data rates in cognitive networks.