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Activity Recognition Using Wearable Sensors for Healthcare

Authors:
Annapurna Soumya Evani
Bharadwaj Sreenivasan
Shruti Sudesh Joshi
Monika Prakash
Jyotsna Bapat

Keywords: Healthcare; activity recognition; flex sensor; wireless sensor networks

Abstract:
Wireless Sensor Networks (WSNs) formed by wireless sensors can be designed to interact continuously with the real world. WSNs help in communicating accurate realtime information and have proliferated from the areas of industrial processing and environmental monitoring to science and healthcare. Today’s healthcare systems are facing two serious challenges: rapid growth in adult population and severe nursing shortage. As per United Nations (UN) statistics, the number of people in the world aged 60 years and above are expected to increase from 605 million to 2 billion by 2050. Nursing shortage has been identified as a global crisis since 2002 and India has a nurse density per thousand population of 0.80. These statistics suggest a urgent need for automated monitoring systems to aid the healthcare industry. In this paper, we describe the implementation of a patient activity monitoring system using wearable flex sensors. Patient activities are classified as standing, sitting, or walking using a lightweight, low latency algorithm. Our approach features a unique sensing technique and facilitates a cost e ffective and energy effcient solution for healthcare.

Pages: 173 to 177

Copyright: Copyright (c) IARIA, 2013

Publication date: August 25, 2013

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-296-7

Location: Barcelona, Spain

Dates: from August 25, 2013 to August 31, 2013