Paper Info
Title
Towards global aerobic activity monitoring
Abstract
With recent progress in wearable sensing it becomes reasonable for individuals to wear different sensors all day, thus global activity monitoring is establishing. The goals in global activity monitoring systems are amongst others to tell the type of activity that was performed, the duration and the intensity. With the information obtained this way, the individual's daily routine can be described in detail. One of the strong motivations to achieve these goals comes from healthcare: to be able to tell if individuals were performing enough physical activity to maintain or even promote their health. This paper focuses on the monitoring of aerobic activities, and targets two main goals: to estimate the intensity of activities, and to identify basic/recommended physical activities and postures. For these purposes, a dataset with 8 subjects and 14 different activities was recorded, including the basic activities and postures, but also examples of household (ironing, vacuum cleaning), sports (playing soccer, rope jumping) and everyday activities (ascending and descending stairs). Data from 3 accelerometers --- placed on lower arm, chest and foot --- and a heart rate monitor were analyzed. In this paper, first results are shown on both the intensity estimation and activity recognition tasks, with a performance of 87, 54% and 86, 80%, respectively.
Year
DOI
Venue
2011
10.1145/2141622.2141637
PETRA
Keywords
Field
DocType
recommended physical activity,towards global aerobic activity,different activity,global activity monitoring system,global activity monitoring,physical activity,basic activity,aerobic activity,intensity estimation,everyday activity,activity recognition task,activity recognition,iron,decision tree,data collection
Data collection,Activity recognition,Jumping,Monitoring system,Accelerometer,Computer science,Simulation,Aerobic exercise,Heart rate monitor,Stairs
Conference
Citations 
PageRank 
References 
19
2.94
9
Authors
2
Name
Order
Citations
PageRank
Attila Reiss141024.01
Didier Stricker21266138.03