Sensor Positioning for Activity Recognition Using Wearable Accelerometers

被引：238

作者：

Atallah, Louis ^{[1
]}

Lo, Benny ^{[1
]}

King, Rachel ^{[1
]}

Yang, Guang-Zhong ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2AZ, England

来源：

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS | 2011年 / 5卷 / 04期

基金：

英国工程与自然科学研究理事会; 美国国家卫生研究院;

关键词：

Body sensor networks (BSNs); feature selection; sensor positioning; wearable sensors; TRIAXIAL ACCELEROMETER; PHYSICAL-ACTIVITY; REAL-TIME; POSTOPERATIVE RECOVERY; ENERGY-EXPENDITURE; ALGORITHM; SYSTEM;

D O I：

10.1109/TBCAS.2011.2160540

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Activities of daily living are important for assessing changes in physical and behavioral profiles of the general population over time, particularly for the elderly and patients with chronic diseases. Although accelerometers have been used widely in wearable devices for activity classification, the positioning of the sensors and the selection of relevant features for different activity groups still pose significant research challenges. This paper investigates wearable sensor placement at different body positions and aims to provide a systematic framework that can answer the following questions: 1) What is the ideal sensor location for a given group of activities? and 2) Of the different time-frequency features that can be extracted from wearable accelerometers, which ones are the most relevant for discriminating different activity types?

引用

页码：320 / 329

页数：10