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

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-8 Number-3                          
Year of Publication : 2014
Authors :  S K Saidulu , B Karunaiah , K V Murali Mohan
  10.14445/22315381/IJETT-V8P221

MLA 

S K Saidulu , B Karunaiah , K V Murali Mohan."Sensors based Wearable and Systems for Detection of Human Movement and Fall", International Journal of Engineering Trends and Technology(IJETT), 8(3),109-112 February 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

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.

References

[1]. Desong wang, “user identification based on finger-vein patterns for consumer electronics devices,” IEEE paper.
[2]. Mulyona D, Jinn HS. ,” A study of finger vein biometric for personal identification.” International symposium on Biometrics and Security technologies 2008.
[3]. A.K.Jain, A. Ross, “An Introduction to Biometrics Recognition,” IEEE Transactions on Circuits and systems.
[4]. Zhang W, Wang Y (2002) Core-based structure matching algorithm of fingerprint verification. In: Proceedings of the IEEE international conference on pattern recognition, 1:70–74
[5]. Montesinos P, Alquier L (1996) Perceptual organization of thin networks with active contour functions applied to medical and aerial images. In Proceedings of ICPR’96, Vienna, Austria, pp 25–30
[6]. Jain AK, Ross A, Pankanti S (1999) A prototype hand geometry-based verification system. In: Proceedings of the 2nd international conference on audio- and video-based biometric person authentication. Washington DC, pp 166–171
[7]. S. Peleg and J. Naor, “Multiple resolution texture analysis and classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, no.4, pp.518- 523, 1984.

Keywords
MEMS Technology, IR Sensor, GSM Modem.