Marshed Mohamed and Michael Cheffena

Expansion of wireless body area networks (WBANs) applications such as health-care, m-banking, and others  has lead to vulnerability of privacy and personal data. An effective and unobtrusive natural method of authentication is therefore a necessity in such applications. Accelerometer-based gait recognition has become an attractive solution, however, continuous sampling of accelerometer data reduces the battery life of wearables. This paper investigates the usage of received signal strength indicator (RSSI) as a source of gait recognition.

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Marshed Mohamed and Michael Cheffena [1] Marshed Mohamed and Michael Cheffena, "Received Signal Strength Based Gait Authentication", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2QD5W. Accessed: Jun. 25, 2022.
@data{h2qd5w-18,
doi = {10.21227/H2QD5W},
url = {http://dx.doi.org/10.21227/H2QD5W},
author = {Marshed Mohamed and Michael Cheffena },
publisher = {IEEE Dataport},
title = {Received Signal Strength Based Gait Authentication},
year = {2018} }
TY - DATA
T1 - Received Signal Strength Based Gait Authentication
AU - Marshed Mohamed and Michael Cheffena
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2QD5W
ER -
Marshed Mohamed and Michael Cheffena. (2018). Received Signal Strength Based Gait Authentication. IEEE Dataport. http://dx.doi.org/10.21227/H2QD5W
Marshed Mohamed and Michael Cheffena, 2018. Received Signal Strength Based Gait Authentication. Available at: http://dx.doi.org/10.21227/H2QD5W.
Marshed Mohamed and Michael Cheffena. (2018). "Received Signal Strength Based Gait Authentication." Web.
1. Marshed Mohamed and Michael Cheffena. Received Signal Strength Based Gait Authentication [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2QD5W
Marshed Mohamed and Michael Cheffena. "Received Signal Strength Based Gait Authentication." doi: 10.21227/H2QD5W