HOME BASED WELLNESS MONITORING SYSTEM THROUGH MEMS TECHNOLOGY
Journal Title: Indian Journal of Computer Science and Engineering - Year 2013, Vol 4, Issue 3
Abstract
A new generation of massive-scale sensor networks suitable for a range of commercial and military applications is brought forth by advances in MEMS (micro electro mechanical system technology).Accordingly Wirelesssensor- networks adds extra advantage combined with the advancements. Here we discuss the application of WSN based home monitoring system for elderly activity behaviour. By regular monitoring we can determine the wellness of elderly. The system can also be used to monitor physiological parameters, such as temperature and heart rate, of a human subject. Using MEMS sensors to detect falls and to measure different vital signs, the person is wirelessly monitored within his own house; this gives privacy to the elderly people. The device detects if a person is medically distressed and sends an alarm to a receiver unit that is connected to a computer. This sets off an alarm, which helps to provide with a necessary and timely support for the elderly person. This device can be easily adapted to monitor athletes and infants. The low cost of the device will help to lower the cost of home monitoring of patients recovering from illness.
Authors and Affiliations
N. Beaulah , AL. Kumarappan
Keywords
Related Articles
- EP ID EP109492
- DOI -
- Views 163
- Downloads 0
AUTOMATIC WEB SERVICE SELECTION BY OPTIMIZING COST OF COMPOSITION IN SLAKY COMPOSER USING ASSIGNMENT MINIMIZATION APPROACH
Web service composition is a means of building enterprises virtually by knitting relevant web services on the fly. Automatic web service composition is done dynamically at runtime. Extensive research has been done in the...
INDEXING TRADITIONAL UDDI FOR EFFICIENT DISCOVERY OF WEB SERVICES
Web service is a major trend in the industry for loosely coupled service-oriented architecture and interoperable solutions across heterogeneous platforms and systems. It receives profound attention and adoption by the in...
A GLFES and DFT Technique for Feature Selection in High-Dimensional Imbalanced dataset
Feature selection has been an active research area in pattern recognition, statistics ,and data mining communities Feature selection, is a preprocessing step to machine learning, is effective in reducing dimensionality,...
M-BOARD IN AN AD-HOC NETWORK ENVIRONMENT
Notice Board is very essential part of any organization. This paper presents the design and implementation of M-Board (Mobile Notice Board) for Ad-hoc Network Environment that can be established and made available for an...
AN EXHAUSTIVE FRAMEWORK FOR BETTER DATA CENTERS’ ENERGY EFFICIENCY AND GREENNESS BY USING METRICS
As data centers become more popular today and power cost and energy consumption exponentially raised, considering energy efficiency in data centers seems imperative. To achieve more energy efficiency and greener data cen...