Lightweight Signal Processing for Wearable Body Sensor Networks Chapter

abstract

• Use of mobile sensor-based platforms for human action recognitionis an ever-growing area of research. Recent advances in this field allowpatients to wear several small sensors with embedded processors and radios.Collectively, these sensors form a body sensor network (BSN). AlthoughBSNs have the potential to enable many useful applications [1], limitedprocessing power, storage and energy make efficient use of these systemscrucial. Moreover, user comfort is a major issue, which can cause patients tobecome frustrated and stop wearing the sensor nodes. The interactionbetween the human body and these wearable nodes here is defined as wearability. 2011 Springer Science+Business Media, LLC.

authors

• Jafari, Roozbeh

author list (cited authors)

• Ghasemzadeh, H., Guenterberg, E., & Jafari, R.

citation count

• 0

complete list of authors

• Ghasemzadeh, Hassan||Guenterberg, Eric||Jafari, Roozbeh

Book Title

• Wearable Monitoring Systems

publication date

• December 2011

publisher

• Springer Nature  Publisher

keywords

• 40 Engineering
• 4009 Electronics, Sensors And Digital Hardware
• 46 Information And Computing Sciences
• 4605 Data Management And Data Science
• 4606 Distributed Computing And Systems Software
• 4608 Human-centred Computing
• 7 Affordable And Clean Energy
• Clinical Research

Digital Object Identifier (DOI)

• 10.1007/978-1-4419-7384-9_5

International Standard Book Number (ISBN) 13

• 9781441973832

start page

• 99

end page

• 122

URL

• http://dx.doi.org/10.1007/978-1-4419-7384-9_5

user-defined tag

• 7 Affordable and Clean Energy