Network Performance Measurement through Machine to Machine Communication in Tele-Robotics System

Machine-to-machine (M2M) communication devices communicate and exchange information with each other in an independent manner to perform necessary tasks. The machine communicates with another machine over a wireless network. Wireless communication opens up the environment to huge vulnerabilities, making it very easy for hackers to gain access to sensitive information and carry out malicious actions. This paper proposes an M2M communication system through the internet in Tele-Robotics and provides network performance security. Tele-robotic systems are designed for surgery, treatment and diagnostics to be conducted across short or long distances while utilizing wireless communication networks. The systems also provide a low delay and secure communication system for the tele-robotics community and data security. The system can perform tasks autonomously and intelligently, minimizing the burden on medical staff and improving the quality and system performance of patient care. In the medical field, surgeons and patients are located at different places and connected through public networks. So the design of a medical sensor node network with LEACH protocol for secure and reliable communication ensures through the attack and without attack performance. Finally, the simulation results show low delay and reliable secure network transmission

Dynamic and Static Gesture Recognition System Using Moments

Gesture recognition is the novel idea to enhance the signs recognition of those who have speech and hearing disability .Our project discusses an improved method for gesture recognition .The algorithm extracts the gestures from the video given to it and it detects the hand using HSV skin color segmentation in the intent to eliminate the other parts of the body and detect only hands .It distinguishes between static and dynamic gestures and extracts the appropriate feature vector .We used SPHINX parser to form word from set of letters. We strive to enhance the reliability and efficiency by using faster static gesture recognition algorithm

An intelligent system with fuzzy-based inference engine for secured tele-robotic surgery

A new era of technological developments has been ushered in by the growth of the Internet of Things (IoT), with telerobotic systems significantly contributing to the automation of crucial medical, diagnostic, and pharmaceutical processes. This study presents a thorough analysis of access control mechanisms in the context of the IoT to improve the security and usability of these cutting-edge technologies. The Fuzzy Logic Trust-Based Access Control Algorithm (FL-TACA) offers a novel strategy that optimizes energy efficiency and allocates access rights. It offers low-latency operations and data security as a secure communication solution for the telerobotics community. The technique decreases vulnerabilities to denial of service, eavesdropping, and replay attacks by allocating access permissions based on the least privileges. Finally, integrating FL-TACA promises to improve the caliber and effectiveness of patient care by enabling intelligent and independent activities that lessen the workload on medical staff