Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and Its Applications

Philip Kuryloski, Annarita Giani, Roberta Giannantonio, Katherine Gilani, Raffaele Gravina, Ville-Pekka Seppa, Edmund Seto, Victor Shia, Curtis Wang, Posu Yan, Allen Yang, Jari Hyttinen, S. Shankar Sastry, Stephen Wicker and Ruzena Bajcsy

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2008-174
December 19, 2008

http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-174.pdf

In this paper, we present an open-source platform for wireless body sensor networks called DexterNet. The system is motivated by shifting research paradigms to support real-time, persistent human monitoring in both indoor and outdoor environments. The platform utilizes a three-layer architecture to control heterogeneous body sensors. The first layer, called the body sensor layer (BSL), deals with design of different wireless body sensors and their instrumentation on the body. We detail two custom-built body sensors: one measuring body motions and the other measuring the ECG and respiratory patterns. At the second layer, called the personal network layer (PNL), the wireless body sensors on a single subject communicate with a mobile base station, which supports Linux OS and the IEEE 802.15.4 protocol. The BSL and PNL functions are abstracted and implemented as an open-source software library, called Signal Processing In Node Environment (SPINE). A DexterNet network is scalable, and can be reconfigured on-the-fly via SPINE. At the third layer, called the global network layer (GNL), multiple PNLs communicate with a remote Internet server to permanently log the sensor data and support higher-level applications. We demonstrate the versatility of the DexterNet platform via three applications: avatar visualization, human activity recognition, and integration of DexterNet with global positioning sensors and air pollution sensors for asthma studies.


BibTeX citation:

@techreport{Kuryloski:EECS-2008-174,
    Author = {Kuryloski, Philip and Giani, Annarita and Giannantonio, Roberta and Gilani, Katherine and Gravina, Raffaele and Seppa, Ville-Pekka and Seto, Edmund and Shia, Victor and Wang, Curtis and Yan, Posu and Yang, Allen and Hyttinen, Jari and Sastry, S. Shankar and Wicker, Stephen and Bajcsy, Ruzena},
    Title = {DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and Its Applications},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2008},
    Month = {Dec},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-174.html},
    Number = {UCB/EECS-2008-174},
    Abstract = {In this paper, we present an open-source platform for wireless body sensor networks called DexterNet. The system is motivated by shifting research paradigms to support real-time, persistent human monitoring in both indoor and outdoor environments. The platform utilizes a three-layer architecture to control heterogeneous body sensors. The first layer, called the body sensor layer (BSL), deals with design of different wireless body sensors and their instrumentation on the body. We detail two custom-built body sensors: one measuring body motions and the other measuring the ECG and respiratory patterns. At the second layer, called the personal network layer (PNL), the wireless body sensors on a single subject communicate with a mobile base station, which supports Linux OS and the IEEE 802.15.4 protocol. The BSL and PNL functions are abstracted and implemented as an open-source software library, called Signal Processing In Node Environment (SPINE). A DexterNet network is scalable, and can be reconfigured on-the-fly via SPINE. At the third layer, called the global network layer (GNL), multiple PNLs communicate with a remote Internet server to permanently log the sensor data and support higher-level applications. We demonstrate the versatility of the DexterNet platform via three applications: avatar visualization, human activity recognition, and integration of DexterNet with global positioning sensors and air pollution sensors for asthma studies.}
}

EndNote citation:

%0 Report
%A Kuryloski, Philip
%A Giani, Annarita
%A Giannantonio, Roberta
%A Gilani, Katherine
%A Gravina, Raffaele
%A Seppa, Ville-Pekka
%A Seto, Edmund
%A Shia, Victor
%A Wang, Curtis
%A Yan, Posu
%A Yang, Allen
%A Hyttinen, Jari
%A Sastry, S. Shankar
%A Wicker, Stephen
%A Bajcsy, Ruzena
%T DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and Its Applications
%I EECS Department, University of California, Berkeley
%D 2008
%8 December 19
%@ UCB/EECS-2008-174
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-174.html
%F Kuryloski:EECS-2008-174