Literature DB >> 19964961

Avatar - a multi-sensory system for real time body position monitoring.

E Jovanov1, N Hanish, V Courson, J Stidham, H Stinson, C Webb, K Denny.   

Abstract

Virtual reality and computer assisted physical rehabilitation applications require an unobtrusive and inexpensive real time monitoring systems. Existing systems are usually complex and expensive and based on infrared monitoring. In this paper we propose Avatar, a hybrid system consisting of off-the-shelf components and sensors. Absolute positioning of a few reference points is determined using infrared diode on subject's body and a set of Wii Remotes as optical sensors. Individual body segments are monitored by intelligent inertial sensor nodes iSense. A network of inertial nodes is controlled by a master node that serves as a gateway for communication with a capture device. Each sensor features a 3D accelerometer and a 2 axis gyroscope. Avatar system is used for control of avatars in Virtual Reality applications, but could be used in a variety of augmented reality, gaming, and computer assisted physical rehabilitation applications.

Mesh:

Year:  2009        PMID: 19964961     DOI: 10.1109/IEMBS.2009.5334774

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Body Area Networks for ubiquitous healthcare applications: opportunities and challenges.

Authors:  Emil Jovanov; Aleksandar Milenkovic
Journal:  J Med Syst       Date:  2011-02-17       Impact factor: 4.460

Review 2.  A new mHealth communication framework for use in wearable WBANs and mobile technologies.

Authors:  Sana Tmar-Ben Hamida; Elyes Ben Hamida; Beena Ahmed
Journal:  Sensors (Basel)       Date:  2015-02-03       Impact factor: 3.576

Review 3.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

Review 4.  Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies.

Authors:  Alessandro Zampogna; Alessandro Manoni; Francesco Asci; Claudio Liguori; Fernanda Irrera; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-09-10       Impact factor: 3.576

  4 in total

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