Design and Implementation of Real Time Wireless Biomedical System Based on ZigBee-GSM interactive module:

We present a framework for a wireless health monitoring system using ZigBee technology. It has the capability to monitor vital signals from multiple biosensors. Biomedical signals are collected and processed using 2-tiered subsystems. The first stage is the mobile device carried on the body that runs a number of biosensors (internal subsystem). At the second stage, further processing is performed by a local base station (external subsystem) using the raw data transmitted on-request by the mobile device. The raw data is also stored at this base station. The processed data as well as the analysis results are then monitored and diagnosed through

BARRY: An Autonomous Train-Spotter

We have taken a set of well-understood algorithms and combined them in a commercial application: trainspotting. An autonomous train-spotting system requires expertise in active vision, tracking and model-based recognition. Results are demonstrated from real image sequences showing that BARRY can indeed perform its task satisfactorily for many hours without the sustenance that human spotters require (flasks of hot tea, sandwiches etc.). The maximum train velocity is at present limited, but we demonstrate theoretically that the system could in principle operate with trains travelling at relativistic speeds, with obvious application to future space-based spotting. 1 Introduction Train spotting is a neglected area in vision research. This is perhaps surprising considering the undoubted importance of the train-spotter in modern society. Train-spotting engages the minds of millions of people around the world, who otherwise would waste their time in foolish and vacuous pursuits such as artif..