Imperial College London

Dr Guangwei Chen

Faculty of EngineeringDepartment of Computing

Research Associate



+44 (0)20 7594 0991sorsby Website




William Penney LaboratorySouth Kensington Campus






BibTex format

author = {Chen, G and Rodriguez-Villegas, E and Casson, AJ},
booktitle = {Wearable Sensors: Fundamentals, Implementation and Applications},
doi = {10.1016/B978-0-12-418662-0.00005-2},
pages = {353--382},
title = {Wearable Algorithms: An Overview of a Truly Multi-Disciplinary Problem},
url = {},
year = {2014}

RIS format (EndNote, RefMan)

AB - © 2015 Elsevier Inc. All rights reserved. This chapter introduces and comprehensively overviews emerging wearable algorithms for embedding in to wearable sensor nodes. We begin with an overview of some of the potential benefits of low power real-time signal processing in wearable sensors with a particular focus on increasing the operational lifetime. Measured results from a practical state-of-the-art sensor platform demonstrate and quantify the design trade-offs present and the potential system optimizations available. We then consider the theory behind wearable algorithms and highlight the key properties of power-lifetime trade-off, big data performance testing, and performance-power trade-off that differentiate these new algorithms from conventional signal processing approaches. We conclude by reviewing the state-of-the-art in low power algorithms implemented in hardware and highlight the key design techniques that are now emerging to realize the lowest possible levels of power consumption.
AU - Chen,G
AU - Rodriguez-Villegas,E
AU - Casson,AJ
DO - 10.1016/B978-0-12-418662-0.00005-2
EP - 382
PY - 2014///
SN - 9780124186668
SP - 353
TI - Wearable Algorithms: An Overview of a Truly Multi-Disciplinary Problem
T1 - Wearable Sensors: Fundamentals, Implementation and Applications
UR -
ER -