Implementation study of wearable sensors for activity recognition systems

Healthcare Technology Letters

article

Hamed Rezaie¹  Mona Ghassemian¹ 

[1] School of Computer Sciences and Engineering, Shahid Beheshti University;School of Computer Science, Institute for Research in Fundamental Sciences (IPM);School of Informatics, King's College London

关键词: patient monitoring;    health hazards;    assisted living;    wearable sensors;    activity recognition systems;    data transmission;    stream based scenarios;    feature based scenarios;    threshold based scenarios;    energy efficiency;    processing power;    battery lifetime;   

DOI  :  10.1049/htl.2015.0017

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

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.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND