| Literature DB >> 26609413 |
Hamed Rezaie1, Mona Ghassemian2.
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.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
Year: 2015 PMID: 26609413 PMCID: PMC4614075 DOI: 10.1049/htl.2015.0017
Source DB: PubMed Journal: Healthc Technol Lett ISSN: 2053-3713