title: Single access point localisation for wearable wireless sensors.
abstract: Knowledge of a subject's location and motion throughout an environment is of significant use to in-home health monitoring and activity recognition systems. This work develops a method of tracking a subject's location using the radio frequency (RF) signals emanating from wearable wireless sensors. It differs from other RF location tracking work in that it utilises the hardware which would already be deployed in a biomedical monitoring application. This is achieved by combining the RSSI (Received Signal Strength Indicator) and LQI (Link Quality Indicator) readings from a single basestation. It is shown that accuracy approaching that of a multiple basestation localisation deployment is achievable by using a suitable level of filtering. As a result of this work, location information can be more readily and cheaply incorporated into future biomedical monitoring applications.
authors.affiliation: National University of Ireland, Maynooth, Ireland. dkelly@eeng.nuim.ie
authors.forename: Damian
authors.initials: D
authors.lastname: Kelly
authors.forename: Sean
authors.initials: S
authors.lastname: McLoone
authors.forename: Beth
authors.initials: B
authors.lastname: Logan
authors.forename: Terry
authors.initials: T
authors.lastname: Dishongh
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods*; D003195:Computer Communication Networks; D003199:Computer Systems; D003201:Computers; D004569:Electroencephalography / Q000379:methods; D004867:Equipment Design; D006801:Humans; D015233:Models, Statistical; D018670:Monitoring, Ambulatory / Q000379:methods; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D011846:Radio Waves; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted