Sensors based Wearable and Systems for Detection of Human Movement and Fall

Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 8, Issue 3

Abstract

Human computer interaction system is a study of relationship between people and computers mediated information. The future of human computer interaction systems lies in how intelligently these systems can take into account the user’s context like Application areas, social organization and work. Researchers on recognizing the daily activities of people has progressed steadily, but little focus has been devoted to recognizing jointly activities as well as movements in a specific activity, their innovation have designed to improve and enrich human beings personal and professional lives, making it simpler to create, communicate with PCs. For many applications such as rehabilitation, design, development and evaluation of models, techniques and human centred perspective, sports medicine, geriatric care and health/fitness monitoring the importance of combined recognition of activities and movements can drive health care outcomes. The consequences of falls, particularly of those which are followed by a “long-lie” of an hour or more, are causing harm , both on a personal and a wide range community level, and includes hospitalization, morbidity and mortality. In different situations, this stresses the importance of monitoring the individuals at risk of falling, detecting falls and implementing a preventative strategies for to minimize the falls risk by allocating a suitable and timely intervention when possible. Since as developed the technological advancements in the fields of mechanical, electrical and computer engineering, particularly involving micro electromechanical Systems (MEMS), have resulted in smaller and cheaper sensors that can operate in a wireless manner. Most systems are available commercially and which are the subject of current research, are enclosed in small cases that can be attached to the body using bands or belts like wrist wearable, a private eye head mounted display and goggle glass.

Authors and Affiliations

S K Saidulu , B Karunaiah , K V Murali Mohan

Keywords

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  • EP ID EP104999
  • DOI -
  • Views 102
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How To Cite

S K Saidulu, B Karunaiah, K V Murali Mohan (2014). Sensors based Wearable and Systems for Detection of Human Movement and Fall. INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY, 8(3), 109-112. https://europub.co.uk/articles/-A-104999