title: Implementation study of wearable sensors for activity recognition systems.
abstract: This Letter investigates and reports on a number of activity recognition methods for a wearable sensor system. The authors apply three methods for data transmission, namely 'stream-based', 'feature-based' and 'threshold-based' scenarios to study the accuracy against energy efficiency of transmission and processing power that affects the mote's battery lifetime. They also report on the impact of variation of sampling frequency and data transmission rate on energy consumption of motes for each method. This study leads us to propose a cross-layer optimisation of an activity recognition system for provisioning acceptable levels of accuracy and energy efficiency.
authors.affiliation: School of Computer Sciences and Engineering , Shahid Beheshti University , Tehran , Iran.
authors.forename: Hamed
authors.initials: H
authors.lastname: Rezaie
authors.affiliation: School of Computer Sciences and Engineering , Shahid Beheshti University , Tehran , Iran ; School of Computer Science , Institute for Research in Fundamental Sciences (IPM) , Tehran , Iran ; School of Informatics , King's College London , London , UK.
authors.forename: Mona
authors.initials: M
authors.lastname: Ghassemian
keywords: activity recognition systems; assisted living; battery lifetime; data transmission; energy efficiency; feature based scenarios; health hazards; patient monitoring; processing power; stream based scenarios; threshold based scenarios; wearable sensors